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<h1><a name="Table of"></a>Table of Contents</h1>
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<article>
<nav xmlns:epub="http://www.idpf.org/2007/ops" id="toc" epub:type="toc">
<ol><li style="list-style-type:none" hidden="hidden" class="epub__front-matter epub__title-page">
<a href="ebd643a8_3d53_4f07_a4a7_d592d250026e_xhtml" class="epub__front-matter epub__title-page">Title Page</a>
</li>
<li style="list-style-type:none" hidden="hidden" class="epub__front-matter epub__copyright">
<a href="1b178a97_94f3_4694_9d82_263bdeab98ed_xhtml" class="epub__front-matter epub__copyright">Copyright and Credits</a>
<ol><li style="list-style-type:none" hidden="hidden" class="">
<a href="3f98fcc9_00c4_45a4_ae58_a2a2c9c237cf_xhtml" class="">Hands-On Machine Learning on Google Cloud Platform</a>
</li>
</ol>
</li>
<li style="list-style-type:none" hidden="hidden" class="epub__front-matter epub__packt-upsell">
<a href="995fc6d6_c6b5_452b_ad89_06497a7c288f_xhtml" class="epub__front-matter epub__packt-upsell">Packt Upsell</a>
<ol><li style="list-style-type:none" hidden="hidden" class="">
<a href="ffd10f84_3e38_47da_95e6_d88e7110493b_xhtml" class="">Why subscribe?</a>
</li>
<li style="list-style-type:none" hidden="hidden" class="">
<a href="759528e3_d745_4faf_a9dd_2b0a450cbc5e_xhtml" class="">PacktPub.com</a>
</li>
</ol>
</li>
<li style="list-style-type:none" hidden="hidden" class="epub__front-matter epub__about-authors">
<a href="2240dd09_bec7_4705_9db8_aa561555948d_xhtml" class="epub__front-matter epub__about-authors">Contributors</a>
<ol><li style="list-style-type:none" hidden="hidden" class="">
<a href="5b8f6e3d_5a00_4243_9ac2_e74e09e1fda8_xhtml" class="">About the authors</a>
</li>
<li style="list-style-type:none" hidden="hidden" class="">
<a href="be356c19_97bd_472d_aa29_25eed43a1b72_xhtml" class="">About the reviewers</a>
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<li style="list-style-type:none" hidden="hidden" class="">
<a href="5704b676_3297_4b48_8773_22636e8a1c93_xhtml" class="">Packt is searching for authors like you</a>
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</ol>
</li>
<li style="list-style-type:none" class="epub__front-matter epub__preface">
<a href="0dffe594_32ae_4ed6_8f41_c6300f056872_xhtml" class="epub__front-matter epub__preface">Preface</a>
<ol><li style="list-style-type:none" class="">
<a href="6078919c_5c7f_4fdd_90fc_ecf2bfd106c6_xhtml" class="">Who this book is for</a>
</li>
<li style="list-style-type:none" class="">
<a href="0c2ce488_e8c6_4da8_9fea_5ec019810807_xhtml" class="">What this book covers</a>
</li>
<li style="list-style-type:none" class="">
<a href="e65d6ab6_973b_4a8c_b8be_f15125050a72_xhtml" class="">To get the most out of this book</a>
<ol><li style="list-style-type:none" class="">
<a href="ff2a6043_c55b_4d59_b4ff_f30e8e4683af_xhtml" class="">Download the example code files</a>
</li>
<li style="list-style-type:none" class="">
<a href="9befa2dd_706f_4335_bd4b_b8c2e10a0dfa_xhtml" class="">Download the color images</a>
</li>
<li style="list-style-type:none" class="">
<a href="d18063bf_400e_4f63_bf48_004a952c6e29_xhtml" class="">Conventions used</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="183d9612_40e7_482a_98cd_3e7ab4a059b4_xhtml" class="">Get in touch</a>
<ol><li style="list-style-type:none" class="">
<a href="2d31188f_4ddd_4e51_923f_d3ead35b2bcd_xhtml" class="">Reviews</a>
</li>
</ol>
</li>
</ol>
</li>
<li style="list-style-type:decimal" value="1" class="epub__chapter epub__chapter">
<a href="080810c6_9b0e_4d19_9b96_b7ad434703ab_xhtml" class="epub__chapter epub__chapter">Introducing the Google Cloud Platform</a>
<ol><li style="list-style-type:none" class="">
<a href="26d31805_e73f_43b4_acf2_3c4cf584e1c7_xhtml" class="">ML and the cloud</a>
<ol><li style="list-style-type:none" class="">
<a href="da129661_7944_4b93_9881_24d194a0ed18_xhtml" class="">The nature of the cloud</a>
<ol><li style="list-style-type:none" class="">
<a href="1d8b2e1e_6d11_497d_a7a4_f7fd3a298f9b_xhtml" class="">Public cloud</a>
</li>
<li style="list-style-type:none" class="">
<a href="aa1e3cc9_a40b_4e1f_a4a9_b35fd0e25dff_xhtml" class="">Managed cloud versus unmanaged cloud</a>
</li>
<li style="list-style-type:none" class="">
<a href="4d76488a_f19a_4be7_ae25_89bd9e7298a6_xhtml" class="">IaaS versus PaaS versus SaaS</a>
</li>
<li style="list-style-type:none" class="">
<a href="be14953b_e4c1_4e00_b4ee_791b08dfc0f5_xhtml" class="">Costs and pricing</a>
</li>
<li style="list-style-type:none" class="">
<a href="1aa868e9_a857_4f89_a3c2_783f093dec46_xhtml" class="">ML</a>
</li>
</ol>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="c047b528_7826_4548_8370_db3afe8f2e35_xhtml" class="">Introducing the GCP</a>
<ol><li style="list-style-type:none" class="">
<a href="00d16026_fc4f_4b53_bb39_7eaa35fd5069_xhtml" class="">Mapping the GCP</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="00d9b43a_0651_42db_9df3_0623ad1400c5_xhtml" class="">Getting started with GCP</a>
<ol><li style="list-style-type:none" class="">
<a href="13336ef0_6108_4ddb_8d01_d744baa0e69d_xhtml" class="">Project-based organization</a>
<ol><li style="list-style-type:none" class="">
<a href="b19f2315_aa36_42af_9998_9b4e60a297d5_xhtml" class="">Creating your first project</a>
</li>
<li style="list-style-type:none" class="">
<a href="0034f596_c459_4f99_a08c_aa1b3e3c989b_xhtml" class="">Roles and permissions</a>
</li>
</ol>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="1669ac25_9d79_4b64_85fa_ad863b251d30_xhtml" class="">Further reading</a>
</li>
<li style="list-style-type:none" class="">
<a href="84d34660_0195_4c84_ae38_ec8a5180eb70_xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal" value="2" class="epub__chapter epub__chapter">
<a href="e8aad7d2_2778_4aab_a227_aa0b1bcd1023_xhtml" class="epub__chapter epub__chapter">Google Compute Engine</a>
<ol><li style="list-style-type:none" class="">
<a href="35f07013_b4e4_4f88_9371_d2f35c984b22_xhtml" class="">Google Compute Engine</a>
<ol><li style="list-style-type:none" class="">
<a href="21d717e2_bc69_4e6b_a5ae_07f3de2b21cb_xhtml" class="">VMs, disks, images, and snapshots</a>
</li>
<li style="list-style-type:none" class="">
<a href="f0263806_4b05_4176_a7f7_2352daea4e80_xhtml" class="">Creating a VM</a>
</li>
<li style="list-style-type:none" class="">
<a href="2f7c7721_6106_432e_9bc0_dd246a3d8251_xhtml" class="">Google Shell</a>
</li>
<li style="list-style-type:none" class="">
<a href="8b2f5184_8be9_4114_a9f1_44925a8e5954_xhtml" class="">Google Cloud Platform SDK</a>
<ol><li style="list-style-type:none" class="">
<a href="b8dd7510_dfb5_4564_b769_7c6d35dd1edf_xhtml" class="">Gcloud</a>
</li>
<li style="list-style-type:none" class="">
<a href="6aeb9c5d_dfc2_430f_b55a_cbd848338fba_xhtml" class="">Gcloud config</a>
</li>
<li style="list-style-type:none" class="">
<a href="124e30fa_aee8_4708_8b24_3c4626fb973d_xhtml" class="">Accessing your instance with gcloud</a>
</li>
<li style="list-style-type:none" class="">
<a href="0917c919_320b_449d_bd2b_e0c51341f12a_xhtml" class="">Transferring files with gcloud</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="899cdc04_5f2c_47d3_aba6_ac4f42dcddfd_xhtml" class="">Managing the VM</a>
</li>
<li style="list-style-type:none" class="">
<a href="4a41a4f4_660a_4382_a013_c538e5d06cbc_xhtml" class="">IPs</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="32e82150_7d55_489b_af78_1f8ec69a98ad_xhtml" class="">Setting up a data science stack on the VM</a>
</li>
<li style="list-style-type:none" class="">
<a href="f55ae076_704a_4f92_a6dd_0cd8c5c15fd5_xhtml" class="">BOX the ipython console</a>
<ol><li style="list-style-type:none" class="">
<a href="7e5623c4_c038_4904_9778_8c3f3cba7d7b_xhtml" class="">Troubleshooting</a>
</li>
<li style="list-style-type:none" class="">
<a href="37291117_540b_4d97_ab4e_9197ba5eee19_xhtml" class="">Adding GPUs to instances</a>
</li>
<li style="list-style-type:none" class="">
<a href="d03c3f0d_0a32_4ef9_b2ff_a0d9d65fa7d0_xhtml" class="">Startup scripts and stop scripts</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="22d3bd8b_2323_4989_b3a6_2c7d41e500f7_xhtml" class="">Resources and further reading</a>
</li>
<li style="list-style-type:none" class="">
<a href="5400564d_fe20_4f6a_af5a_2f2cd7f25b14_xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal" value="3" class="epub__chapter epub__chapter">
<a href="3cd07896_6c7d_445f_b2b8_5ac4806b0ea4_xhtml" class="epub__chapter epub__chapter">Google Cloud Storage</a>
<ol><li style="list-style-type:none" class="">
<a href="2a31b42c_c155_4519_b3d4_d9dc4d6f649b_xhtml" class="">Google Cloud Storage</a>
<ol><li style="list-style-type:none" class="">
<a href="c8fa23f5_3b19_4f78_b3aa_f54405ef36a6_xhtml" class="">Box&#x2013;storage versus drive</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="177ae490_7a13_4932_994c_849077d486ea_xhtml" class="">Accessing control lists</a>
<ol><li style="list-style-type:none" class="">
<a href="3773bae2_596c_4d5d_90fb_1de6add8eb1d_xhtml" class="">Access and management through the web console</a>
<ol><li style="list-style-type:none" class="">
<a href="4f240a4e_b35f_42a2_b2e5_45a4443ff044_xhtml" class="">gsutil</a>
</li>
<li style="list-style-type:none" class="">
<a href="4df67e0a_ff56_43d2_bd1e_f0fee8d4d569_xhtml" class="">gsutil cheatsheet</a>
</li>
<li style="list-style-type:none" class="">
<a href="e750a5fa_ad3d_498a_9a1f_2abc3d9cdaa7_xhtml" class="">Advanced gsutil</a>
</li>
<li style="list-style-type:none" class="">
<a href="ed79c70e_4cda_425e_93ee_90a3633eac66_xhtml" class="">Signed URLs</a>
</li>
</ol>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="e537a4bc_a9c4_4794_9c85_900829c46f25_xhtml" class="">Creating a bucket in Google Cloud Storage</a>
<ol><li style="list-style-type:none" class="">
<a href="2c8af101_b035_49c9_88f1_a3d3b8acb2ae_xhtml" class="">Google Storage namespace</a>
<ol><li style="list-style-type:none" class="">
<a href="c21b8940_d31f_4011_9adc_7bd0244c67ee_xhtml" class="">Naming a bucket</a>
</li>
<li style="list-style-type:none" class="">
<a href="c2fe11d1_6565_4426_8506_3be3f5b9da1d_xhtml" class="">Naming an object</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="d2374d71_558f_4c6f_be79_f4faab7cac2a_xhtml" class="">Creating a bucket</a>
<ol><li style="list-style-type:none" class="">
<a href="dc02f060_3ed9_4896_91e0_79b8a90a2999_xhtml" class="">Google Cloud Storage console</a>
</li>
<li style="list-style-type:none" class="">
<a href="e0b009ec_1af1_4ec8_a271_c374a29926f1_xhtml" class="">Google Cloud Storage gsutil</a>
</li>
</ol>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="e64a2ddd_7d54_4d10_978e_53828cb2dda3_xhtml" class="">Life cycle management</a>
</li>
<li style="list-style-type:none" class="">
<a href="3506ed49_5ad9_4906_b984_4e3d74cc0d64_xhtml" class="">Google Cloud SQL</a>
<ol><li style="list-style-type:none" class="">
<a href="3f2cf1d6_d3de_469a_ae72_05898a069544_xhtml" class="">Databases supported</a>
</li>
<li style="list-style-type:none" class="">
<a href="42f96902_5c53_4f67_b9f3_81620205117a_xhtml" class="">Google Cloud SQL performance and scalability</a>
</li>
<li style="list-style-type:none" class="">
<a href="b0d2885a_4c26_4c13_bd21_6bd17f85eac2_xhtml" class="">Google Cloud SQL&#xA0;security and architecture</a>
</li>
<li style="list-style-type:none" class="">
<a href="6e382533_3584_490d_a7b2_33593ed424b6_xhtml" class="">Creating Google Cloud SQL instances</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="fea151ac_7f59_4b85_9434_e069ed1bf06d_xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal" value="4" class="epub__chapter epub__chapter">
<a href="862553c5_4bb7_4a5c_b7bd_03f0eb8d413e_xhtml" class="epub__chapter epub__chapter">Querying Your Data with BigQuery</a>
<ol><li style="list-style-type:none" class="">
<a href="14268791_b51b_4a89_b5fe_7b9b9d5c6f89_xhtml" class="">Approaching big data</a>
</li>
<li style="list-style-type:none" class="">
<a href="6629fddc_6e94_437d_baa1_e6bc43dd7397_xhtml" class="">Data structuring</a>
</li>
<li style="list-style-type:none" class="">
<a href="ce858741_d1f2_441e_9de8_beee0dd1b0c0_xhtml" class="">Querying the database</a>
<ol><li style="list-style-type:none" class="">
<a href="e9d6de20_6896_4bf5_86e2_51f4023275c6_xhtml" class="">SQL basics</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="d05e43bb_c814_4313_8444_265d3d28393a_xhtml" class="">Google BigQuery</a>
<ol><li style="list-style-type:none" class="">
<a href="e799a96d_284e_475a_b46e_b4ee1c5326ff_xhtml" class="">BigQuery basics</a>
</li>
<li style="list-style-type:none" class="">
<a href="d0fdb620_8f69_42f3_8800_ce6942498458_xhtml" class="">Using a graphical web UI</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="c3cf9dcd_f670_464b_ad43_3dbde65366cf_xhtml" class="">Visualizing data with Google Data Studio</a>
<ol><li style="list-style-type:none" class="">
<a href="ab24ba7e_5a0e_4278_beeb_e75b13093271_xhtml" class="">Creating reports in Data Studio</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="093cfdbb_2880_436f_8b0f_f1e593e5809d_xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal" value="5" class="epub__chapter epub__chapter">
<a href="0ac1eacf_3e00_4944_b261_0f403e63f0d5_xhtml" class="epub__chapter epub__chapter">Transforming Your Data</a>
<ol><li style="list-style-type:none" class="">
<a href="0cce51b6_21cd_4a0f_b154_6bc859d785db_xhtml" class="">How to clean and prepare the data</a>
<ol><li style="list-style-type:none" class="">
<a href="9d2a2807_42a5_4c78_aa95_4c1b2d2db95a_xhtml" class="">Google Cloud Dataprep</a>
</li>
<li style="list-style-type:none" class="">
<a href="ffe345b3_492a_41f2_87d1_4bfbf5fbebf7_xhtml" class="">Exploring Dataprep console</a>
</li>
<li style="list-style-type:none" class="">
<a href="a6afb6f5_fe50_4ef9_b57c_7a04c0388f7b_xhtml" class="">Removing empty cells</a>
</li>
<li style="list-style-type:none" class="">
<a href="897f425c_c97e_4406_a4e2_ca103f475f0f_xhtml" class="">Replacing incorrect values</a>
</li>
<li style="list-style-type:none" class="">
<a href="28e1853d_5651_4f3b_b4bf_02a340a019cd_xhtml" class="">Mismatched values</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="1e61c632_9a51_4f10_83fb_6a601f7b855d_xhtml" class="">Finding outliers in the data</a>
<ol><li style="list-style-type:none" class="">
<a href="0128bfd7_b759_42f0_b498_abcb37d8095c_xhtml" class="">Visual functionality</a>
</li>
<li style="list-style-type:none" class="">
<a href="e22508ba_804a_4ac1_aa48_1e5cb21f9433_xhtml" class="">Statistical information</a>
</li>
<li style="list-style-type:none" class="">
<a href="b018816d_f646_406a_9ee2_97669e690a2b_xhtml" class="">Removing outliers</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="08ae318e_231c_4dbd_9569_96ac3bd8fdc4_xhtml" class="">Run Job</a>
</li>
<li style="list-style-type:none" class="">
<a href="3ffda889_d66c_46a5_8e44_f399e4604ae4_xhtml" class="">Scale of features</a>
<ol><li style="list-style-type:none" class="">
<a href="fd5b8a44_e9d3_4c19_bebb_c2fa5a5ebfee_xhtml" class="">Min&#x2013;max normalization</a>
</li>
<li style="list-style-type:none" class="">
<a href="aa83b40e_51a8_483f_a6fa_a2cba3008893_xhtml" class="">z score standardization</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="fe6425ec_8c7d_4070_ae6b_3aa3bc027dc0_xhtml" class="">Google Cloud Dataflow</a>
</li>
<li style="list-style-type:none" class="">
<a href="8b17ef6f_26d1_4647_a28a_8b21ab581cef_xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal" value="6" class="epub__chapter epub__chapter">
<a href="d5573a5a_a586_44de_b1d0_1bdc51062506_xhtml" class="epub__chapter epub__chapter">Essential Machine Learning</a>
<ol><li style="list-style-type:none" class="">
<a href="3bbfb46c_04bc_4c00_a2f5_eed34be7efb0_xhtml" class="">Applications of machine learning</a>
<ol><li style="list-style-type:none" class="">
<a href="34c77e2c_dc59_4183_9b29_0e5e98cd3b43_xhtml" class="">Financial services</a>
</li>
<li style="list-style-type:none" class="">
<a href="ed2f72af_2430_41eb_80ad_6755d1a68e75_xhtml" class="">Retail industry</a>
</li>
<li style="list-style-type:none" class="">
<a href="832a8c22_6b6d_439c_a82c_8a819c7c80b6_xhtml" class="">Telecom industry</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="ac78ab2e_90ca_4356_97d8_faa97c5a64a8_xhtml" class="">Supervised and unsupervised machine learning</a>
</li>
<li style="list-style-type:none" class="">
<a href="89129ee8_397b_47f3_9dff_dcd161a219b8_xhtml" class="">Overview of machine learning techniques</a>
<ol><li style="list-style-type:none" class="">
<a href="373c26b9_bebf_49d5_83df_93e1884c17d5_xhtml" class="">Objective function in regression</a>
<ol><li style="list-style-type:none" class="">
<a href="20fe6cfc_bee7_4050_a219_6e391cccb08f_xhtml" class="">Linear regression</a>
</li>
<li style="list-style-type:none" class="">
<a href="375472e7_c6d3_4690_a533_ca2b6d46f37a_xhtml" class="">Decision tree</a>
</li>
<li style="list-style-type:none" class="">
<a href="555d041f_d8ac_4d6b_92e2_d33db76be27e_xhtml" class="">Random forest</a>
</li>
<li style="list-style-type:none" class="">
<a href="3ed1648d_d179_43f0_96d8_00a1b41de34c_xhtml" class="">Gradient boosting</a>
</li>
<li style="list-style-type:none" class="">
<a href="ca70515d_5f74_4566_92a7_235a15605b49_xhtml" class="">Neural network</a>
</li>
<li style="list-style-type:none" class="">
<a href="83d46c99_3db4_40c8_8aa6_2e3b0dac8880_xhtml" class="">Logistic regression</a>
</li>
<li style="list-style-type:none" class="">
<a href="4b236e6b_09f0_4c87_82fd_3c58430e1d6b_xhtml" class="">Objective function in classification</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="2b230f13_35e8_42a1_b883_304df0596fce_xhtml" class="">Data splitting</a>
</li>
<li style="list-style-type:none" class="">
<a href="90ba54ec_1f17_4779_ae41_1c773d956014_xhtml" class="">Measuring the accuracy of a model</a>
<ol><li style="list-style-type:none" class="">
<a href="b835f791_ce04_47ba_a275_dfbe60475478_xhtml" class="">Absolute error</a>
</li>
<li style="list-style-type:none" class="">
<a href="f0e4576d_b261_4746_a22b_95a2bdba5ecb_xhtml" class="">Root mean square error</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="52b8d0a5_637f_41db_af0a_88399bff4c46_xhtml" class="">The difference between machine learning and deep learning</a>
</li>
<li style="list-style-type:none" class="">
<a href="fb7020d2_6cc1_4837_9d80_3fcb6155cd5d_xhtml" class="">Applications of deep learning</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="3f9fba73_cd50_4f24_8ba2_0e0a0f5e0520_xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal" value="7" class="epub__chapter epub__chapter">
<a href="9ce37beb_fec7_4f6f_b058_522fca4ede3b_xhtml" class="epub__chapter epub__chapter">Google Machine Learning APIs</a>
<ol><li style="list-style-type:none" class="">
<a href="d16ff507_a3df_4398_b24a_54fad32589d5_xhtml" class="">Vision API</a>
<ol><li style="list-style-type:none" class="">
<a href="9bb2eebb_ed78_41b0_9eb0_2b1afcdb8763_xhtml" class="">Enabling the API</a>
</li>
<li style="list-style-type:none" class="">
<a href="ce8c15cf_179a_454a_9038_6d315a30da7a_xhtml" class="">Opening an instance</a>
<ol><li style="list-style-type:none" class="">
<a href="ebd761f4_b343_4b41_8bce_2f1a1be6b325_xhtml" class="">Creating an instance using Cloud Shell</a>
</li>
<li style="list-style-type:none" class="">
<a href="c2575157_6eaf_4f87_a091_9f5e8b671a3c_xhtml" class="">Label detection</a>
</li>
<li style="list-style-type:none" class="">
<a href="127035e2_5a49_448b_9a3d_94af0518e9bc_xhtml" class="">Text detection</a>
</li>
<li style="list-style-type:none" class="">
<a href="3f8b8344_ea04_4340_8af2_c74c17cd7545_xhtml" class="">Logo detection</a>
</li>
<li style="list-style-type:none" class="">
<a href="b9a3ac0f_abe2_4b4a_a9df_d4696e7cebbf_xhtml" class="">Landmark detection</a>
</li>
</ol>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="41ca314c_108a_48db_880c_e8ae0f724539_xhtml" class="">Cloud Translation API</a>
<ol><li style="list-style-type:none" class="">
<a href="814c5e96_da82_48b1_b6fe_bdfa58cd8bfd_xhtml" class="">Enabling the API</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="329361e2_0f4a_49ea_8d80_669aa81c7d19_xhtml" class="">Natural Language API</a>
</li>
<li style="list-style-type:none" class="">
<a href="6e334ef6_beac_41d2_9d8c_6b477f003cf0_xhtml" class="">Speech-to-text API</a>
</li>
<li style="list-style-type:none" class="">
<a href="e6b27c3d_ac12_44e8_8fa4_b244ac8d7d66_xhtml" class="">Video Intelligence API</a>
</li>
<li style="list-style-type:none" class="">
<a href="dc90b4df_5009_4a67_9552_08569caebabc_xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal" value="8" class="epub__chapter epub__chapter">
<a href="7212765a_947e_4bff_b856_9cc49fa1885f_xhtml" class="epub__chapter epub__chapter">Creating ML Applications with Firebase</a>
<ol><li style="list-style-type:none" class="">
<a href="aa94ea1f_ff5a_40c6_abd7_1088a2c28f63_xhtml" class="">Features of Firebase</a>
<ol><li style="list-style-type:none" class="">
<a href="8d64b9a3_7018_47bc_a47d_cf62a775a441_xhtml" class="">Building a web application</a>
</li>
<li style="list-style-type:none" class="">
<a href="aa4abc58_00ce_4246_a497_b7eec37e0055_xhtml" class="">Building a mobile application</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="fa1d0c4d_2fa6_40b7_9d14_0a81267ec541_xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal" value="9" class="epub__chapter epub__chapter">
<a href="a1088ef1_19b7_49ce_9b02_0a0516f76010_xhtml" class="epub__chapter epub__chapter">Neural Networks with TensorFlow and Keras</a>
<ol><li style="list-style-type:none" class="">
<a href="09946c75_fe99_4fc0_97b3_38d9fb5ac24e_xhtml" class="">Overview of a neural network</a>
<ol><li style="list-style-type:none" class="">
<a href="acc74b01_5019_48cc_b176_bbe8968035a8_xhtml" class="">Setting up Google Cloud Datalab</a>
<ol><li style="list-style-type:none" class="">
<a href="973479f6_d87d_4252_a32f_2deafd47616c_xhtml" class="">Installing and importing the required packages</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="aa835748_0afb_47f0_a521_5227018efb6c_xhtml" class="">Working details of a simple neural network</a>
<ol><li style="list-style-type:none" class="">
<a href="8d4c3f54_22b1_4f10_b865_ed292bdaa721_xhtml" class="">Backpropagation</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="dedb0bfe_f982_4984_b4eb_172aa1bc55a2_xhtml" class="">Implementing a simple neural network in Keras</a>
<ol><li style="list-style-type:none" class="">
<a href="760f23dd_8158_4df0_81aa_4cd7ca6442ff_xhtml" class="">Understanding the various loss functions</a>
</li>
<li style="list-style-type:none" class="">
<a href="91490ac9_8eea_4a0f_b236_1f257c864db0_xhtml" class="">Softmax activation</a>
</li>
<li style="list-style-type:none" class="">
<a href="f6a0e9ce_6eb3_483a_98df_926024003c2a_xhtml" class="">Building a more complex network in Keras</a>
</li>
<li style="list-style-type:none" class="">
<a href="bc0adb0b_1699_4889_ae1b_c403059220d5_xhtml" class="">Activation functions</a>
</li>
<li style="list-style-type:none" class="">
<a href="7e947873_1cbb_484a_84ca_057772863f82_xhtml" class="">Optimizers</a>
</li>
<li style="list-style-type:none" class="">
<a href="4111eedd_6b74_4cec_8b3a_f6925f445471_xhtml" class="">Increasing the depth of network</a>
</li>
<li style="list-style-type:none" class="">
<a href="250f80e2_3d69_4c38_9172_8585ceefbd17_xhtml" class="">Impact on change in batch size</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="6b1aa726_b8d5_4e9c_aa54_570a1e7481bc_xhtml" class="">Implementing neural networks in TensorFlow</a>
<ol><li style="list-style-type:none" class="">
<a href="73a7b558_492e_4454_bc42_aac29da669f5_xhtml" class="">Using premade estimators</a>
</li>
<li style="list-style-type:none" class="">
<a href="95576a8c_acb4_421e_a736_0b457a3feb57_xhtml" class="">Creating custom estimators</a>
</li>
</ol>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="0162d651_f81f_48b3_9550_02bba45e12d9_xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal" value="10" class="epub__chapter epub__chapter">
<a href="2d78b3db_9175_4c57_ba39_f27a23536223_xhtml" class="epub__chapter epub__chapter">Evaluating Results with TensorBoard</a>
<ol><li style="list-style-type:none" class="">
<a href="b3fd3dcc_3c67_4938_a235_ac0b2bc1ffc4_xhtml" class="">Setting up TensorBoard</a>
</li>
<li style="list-style-type:none" class="">
<a href="56dc6a47_77ba_4c7f_b925_6bb8a0a4e5ea_xhtml" class="">Overview of summary operations</a>
<ol><li style="list-style-type:none" class="">
<a href="7c46c713_11b3_4fec_b730_be7ce03d4964_xhtml" class="">Ways to debug the code</a>
<ol><li style="list-style-type:none" class="">
<a href="3c980ae4_370e_41b8_bf00_4924c59950a0_xhtml" class="">Setting up TensorBoard from TensorFlow</a>
<ol><li style="list-style-type:none" class="">
<a href="e6afe94f_62e8_483d_9436_1b8eea93e2ea_xhtml" class="">Summaries from custom estimator</a>
</li>
</ol>
</li>
</ol>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="4051079c_7c28_4e52_b62d_81d5d7ae8e1b_xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal" value="11" class="epub__chapter epub__chapter">
<a href="887ab76c_4889_4939_9ed4_500ff7b13933_xhtml" class="epub__chapter epub__chapter">Optimizing the Model through Hyperparameter Tuning</a>
<ol><li style="list-style-type:none" class="">
<a href="e38e8f69_6a92_474a_be7d_55eee4d3b240_xhtml" class="">The intuition of hyperparameter tuning</a>
<ol><li style="list-style-type:none" class="">
<a href="44254261_1c20_4283_90b0_ed6185581476_xhtml" class="">Overview of hyperparameter tuning</a>
</li>
<li style="list-style-type:none" class="">
<a href="58ede1f6_f0ac_4225_9fb9_096e36df77c9_xhtml" class="">Hyperparameter tuning in Google Cloud</a>
<ol><li style="list-style-type:none" class="">
<a href="d6d4248f_3390_46a7_8357_c1a156d6514d_xhtml" class="">The model file</a>
</li>
<li style="list-style-type:none" class="">
<a href="4738249f_c829_43ae_8a78_d34b72e8aafd_xhtml" class="">Configuration file</a>
</li>
<li style="list-style-type:none" class="">
<a href="837ee50f_529f_4f57_b019_54e6c11af332_xhtml" class="">Setup file</a>
</li>
<li style="list-style-type:none" class="">
<a href="db8b95c3_e8f2_48ba_8291_1206e845f762_xhtml" class="">The __init__&#xA0;file</a>
</li>
</ol>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="4e978711_b74b_4a92_8102_f8e4f3285cc6_xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal" value="12" class="epub__chapter epub__chapter">
<a href="4f8fdc63_060d_4eb6_b152_7f0502ac83a3_xhtml" class="epub__chapter epub__chapter">Preventing Overfitting with Regularization</a>
<ol><li style="list-style-type:none" class="">
<a href="5ed5af33_7fb7_4422_b17f_d44c4517ff06_xhtml" class="">Intuition of over/under fitting</a>
<ol><li style="list-style-type:none" class="">
<a href="4ee34856_0239_42a8_b7a0_edffe0ec700e_xhtml" class="">Reducing overfitting</a>
<ol><li style="list-style-type:none" class="">
<a href="1c24cbe4_94cf_455c_bc10_2ee45b9b7909_xhtml" class="">Implementing L2 regularization</a>
</li>
<li style="list-style-type:none" class="">
<a href="1b3b892f_9613_46e3_8310_57ed6184cac1_xhtml" class="">Implementing L1 regularization</a>
</li>
<li style="list-style-type:none" class="">
<a href="58f96e09_b6e4_4b79_b4ea_1d4593cbf1a7_xhtml" class="">Implementing dropout</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="55ce244a_ec9d_4b14_86f6_d8d069688c4d_xhtml" class="">Reducing underfitting</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="75f1eb7b_62a2_46ae_9154_9c7db9421274_xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal" value="13" class="epub__chapter epub__chapter">
<a href="0fa9cfb2_9e84_4f95_b287_c28f1805cc97_xhtml" class="epub__chapter epub__chapter">Beyond Feedforward Networks &#x2013; CNN and RNN</a>
<ol><li style="list-style-type:none" class="">
<a href="3a27f868_6f6a_43f2_ab28_dfff2851d560_xhtml" class="">Convolutional neural networks</a>
<ol><li style="list-style-type:none" class="">
<a href="e8de8169_03a3_4193_b500_005a7b08811c_xhtml" class="">Convolution layer</a>
</li>
<li style="list-style-type:none" class="">
<a href="38e0cb74_de58_4f4f_806b_035b98df29a9_xhtml" class="">Rectified Linear Units</a>
</li>
<li style="list-style-type:none" class="">
<a href="338f6b45_9e03_45cd_bf6d_01fbabd70c80_xhtml" class="">Pooling layers</a>
</li>
<li style="list-style-type:none" class="">
<a href="bfa7639d_9886_48c5_80b4_e7d92630a0f6_xhtml" class="">Fully connected layer</a>
</li>
<li style="list-style-type:none" class="">
<a href="ca9b696d_8e8c_4943_9373_4254a1a96344_xhtml" class="">Structure of a CNN</a>
</li>
<li style="list-style-type:none" class="">
<a href="16980708_7891_412a_99e4_d662f53fcb7e_xhtml" class="">TensorFlow overview</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="7aa4d5e7_d3a0_493e_a439_93049f9dcc44_xhtml" class="">Handwriting Recognition using CNN and TensorFlow</a>
<ol><li style="list-style-type:none" class="">
<a href="6385da47_a68b_44c4_88ef_b73b0d1f66af_xhtml" class="">Run Python code on Google Cloud Shell</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="6ff64108_f82a_4360_8b15_ffbd9a3abc1c_xhtml" class="">Recurrent neural network</a>
<ol><li style="list-style-type:none" class="">
<a href="d99abada_599d_4e81_83cf_8677a217e6d5_xhtml" class="">Fully recurrent neural networks</a>
</li>
<li style="list-style-type:none" class="">
<a href="7d87f98e_9e43_4cf9_9773_e6c339a02e54_xhtml" class="">Recursive neural networks</a>
</li>
<li style="list-style-type:none" class="">
<a href="41cf0eeb_5cbe_4df7_9bb5_ea9a1f82e097_xhtml" class="">Hopfield recurrent neural networks</a>
</li>
<li style="list-style-type:none" class="">
<a href="f5bd97dc_ba4e_4be9_8e2c_b4d270a6b1bf_xhtml" class="">Elman neural networks</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="5a5993de_9ed4_43f3_9e9c_4278bd844481_xhtml" class="">Long short-term memory networks</a>
</li>
<li style="list-style-type:none" class="">
<a href="65f9a7d0_414f_4293_83dc_161006d3ab91_xhtml" class="">Handwriting Recognition using RNN and TensorFlow</a>
<ol><li style="list-style-type:none" class="">
<a href="2136a377_d013_4bfb_8198_f2380ef4a8e1_xhtml" class="">LSTM on Google Cloud Shell</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="340369e4_9a50_42e5_bb13_cc86836dddd3_xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal" value="14" class="epub__chapter epub__chapter">
<a href="c8d5ef2e_b7e5_4de0_a153_c1d0881da8dc_xhtml" class="epub__chapter epub__chapter">Time Series with LSTMs</a>
<ol><li style="list-style-type:none" class="">
<a href="54420c71_afb3_479f_a749_120978141d76_xhtml" class="">Introducing time series&#xA0;</a>
</li>
<li style="list-style-type:none" class="">
<a href="04423656_f1e5_4d37_a13b_e8b053f0ad57_xhtml" class="">Classical approach to time series</a>
<ol><li style="list-style-type:none" class="">
<a href="1e459fff_e6de_45ac_99f6_6b71c623fcc1_xhtml" class="">Estimation of the trend component</a>
</li>
<li style="list-style-type:none" class="">
<a href="f1aabcbe_ac47_4295_9491_54fcaaf9285e_xhtml" class="">Estimating the seasonality component</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="c8bb1f67_33a8_4c8a_ac94_35dd5ba57e3f_xhtml" class="">Time series models</a>
<ol><li style="list-style-type:none" class="">
<a href="40480f49_8f33_4cd3_b865_08bf5196c4a8_xhtml" class="">Autoregressive models</a>
</li>
<li style="list-style-type:none" class="">
<a href="a08eff70_8baf_4922_bdbd_c79bf8254542_xhtml" class="">Moving average models</a>
</li>
<li style="list-style-type:none" class="">
<a href="82950028_4ce3_4ad3_adf4_dc0757680ee2_xhtml" class="">Autoregressive moving average model&#xA0;</a>
</li>
<li style="list-style-type:none" class="">
<a href="a57cdd0e_c80b_46e9_bb88_e45d28c0c58f_xhtml" class="">Autoregressive integrated moving average models</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="a68cb510_0531_4e58_92b2_2d6a40e41bc5_xhtml" class="">Removing seasonality from a time series</a>
<ol><li style="list-style-type:none" class="">
<a href="9a0e75e6_6aee_4a2d_8544_e6d14d438b2f_xhtml" class="">Analyzing a time series dataset</a>
</li>
<li style="list-style-type:none" class="">
<a href="71320a4c_b014_44e5_8d2a_c2247501a4c9_xhtml" class="">Identifying a trend in a time series</a>
</li>
<li style="list-style-type:none" class="">
<a href="bb1320cc_72ae_43c9_9ee2_c17f0f788375_xhtml" class="">Time series decomposition</a>
<ol><li style="list-style-type:none" class="">
<a href="df471294_6e4a_4d55_aee3_78ebd6723d17_xhtml" class="">Additive method</a>
</li>
<li style="list-style-type:none" class="">
<a href="b79a0e59_7596_4d76_b10d_832243f5cd7b_xhtml" class="">Multiplicative method</a>
</li>
</ol>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="75aeb61c_e662_40da_9f8f_1d0f675bb595_xhtml" class="">LSTM for time series analysis</a>
<ol><li style="list-style-type:none" class="">
<a href="778c5769_2431_4d87_b297_ae4e4711ee54_xhtml" class="">Overview of the time series dataset</a>
</li>
<li style="list-style-type:none" class="">
<a href="db10d13c_f0dc_4c50_8bed_8d0ed360cd55_xhtml" class="">Data scaling</a>
</li>
<li style="list-style-type:none" class="">
<a href="9cdaa4d6_583a_4932_9812_53a4ffae40e8_xhtml" class="">Data splitting</a>
</li>
<li style="list-style-type:none" class="">
<a href="d6ff16f5_270e_4dd7_92cf_a6c9f7f78fc2_xhtml" class="">Building the model</a>
</li>
<li style="list-style-type:none" class="">
<a href="244be58a_6f37_4419_8f10_744c5bbd53a3_xhtml" class="">Making predictions</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="56bd26f4_60f1_4905_9cdb_e189e1316830_xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal" value="15" class="epub__chapter epub__chapter">
<a href="901df481_63c8_41d3_923b_63211aa88dc6_xhtml" class="epub__chapter epub__chapter">Reinforcement Learning</a>
<ol><li style="list-style-type:none" class="">
<a href="b56e2259_9453_44cd_b41c_7c5105443a9a_xhtml" class="">Reinforcement learning introduction</a>
<ol><li style="list-style-type:none" class="">
<a href="7fcfbc8e_a6f6_468f_8560_088b5ba8a21a_xhtml" class="">Agent-Environment interface</a>
</li>
<li style="list-style-type:none" class="">
<a href="949629bd_e9d8_421e_8b12_96d84cea44fc_xhtml" class="">Markov Decision Process</a>
</li>
<li style="list-style-type:none" class="">
<a href="fe688357_82e5_4f93_8a76_102cab66c0ce_xhtml" class="">Discounted cumulative reward</a>
</li>
<li style="list-style-type:none" class="">
<a href="19030cc3_3298_4cc1_ae13_dfb28afdd923_xhtml" class="">Exploration versus exploitation</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="76b9619e_42e3_4bcc_9242_b7cdfd552fcd_xhtml" class="">Reinforcement learning techniques</a>
<ol><li style="list-style-type:none" class="">
<a href="8a5365c7_2611_4a68_974a_88fe937f2bb8_xhtml" class="">Q-learning</a>
</li>
<li style="list-style-type:none" class="">
<a href="da964568_d48d_4c5f_84bc_4ef0a5e65b83_xhtml" class="">Temporal difference learning</a>
</li>
<li style="list-style-type:none" class="">
<a href="77ff43ec_8c87_4159_9cac_606d6d7ced40_xhtml" class="">Dynamic Programming</a>
</li>
<li style="list-style-type:none" class="">
<a href="3477029c_843e_4d40_b70e_228c9eb13fd7_xhtml" class="">Monte Carlo methods</a>
</li>
<li style="list-style-type:none" class="">
<a href="ed074f2d_dd17_4863_bdf8_82fd3a2afefa_xhtml" class="">Deep Q-Network</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="693a32e6_359c_41bc_9462_6c4bc70f3f93_xhtml" class="">OpenAI Gym</a>
</li>
<li style="list-style-type:none" class="">
<a href="85089c6f_431b_4f51_ba29_2e2f4663316d_xhtml" class="">Cart-Pole system</a>
<ol><li style="list-style-type:none" class="">
<a href="afa1e311_e199_41df_b4e5_39f3f13f1e02_xhtml" class="">Learning phase</a>
</li>
<li style="list-style-type:none" class="">
<a href="865d68e4_f499_4a15_a2cf_cf879efa60fd_xhtml" class="">Testing phase</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="6f47a470_20bd_473d_a2d7_001de99a7147_xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal" value="16" class="epub__chapter epub__chapter">
<a href="7933fee3_55bc_4028_932b_da466551ec32_xhtml" class="epub__chapter epub__chapter">Generative Neural Networks</a>
<ol><li style="list-style-type:none" class="">
<a href="9d63b10b_6489_4dcf_95d1_07449c161b86_xhtml" class="">Unsupervised learning</a>
</li>
<li style="list-style-type:none" class="">
<a href="d82cc43c_aa80_42bd_934d_25a365dbcf47_xhtml" class="">Generative models</a>
<ol><li style="list-style-type:none" class="">
<a href="3ef0df68_06a4_4b39_8a29_cf87f4f5c9e9_xhtml" class="">Restricted Boltzmann machine</a>
<ol><li style="list-style-type:none" class="">
<a href="9390e1f4_a9cf_4330_8b17_4a06ed22c9ca_xhtml" class="">Boltzmann machine architecture</a>
</li>
<li style="list-style-type:none" class="">
<a href="f73852fe_4f59_44e5_b154_1bc7b2de1375_xhtml" class="">Boltzmann machine disadvantages</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="c32321b0_d420_4901_8731_7e914cc69aad_xhtml" class="">Deep Boltzmann machines</a>
</li>
<li style="list-style-type:none" class="">
<a href="d3e73e6b_e168_4651_b4ec_78dc362c9d37_xhtml" class="">Autoencoder</a>
</li>
<li style="list-style-type:none" class="">
<a href="bcaaccd8_020a_4465_9351_ad25247beea1_xhtml" class="">Variational autoencoder</a>
</li>
<li style="list-style-type:none" class="">
<a href="4fd0bfd2_a0a2_4657_90be_6505d39f7f60_xhtml" class="">Generative adversarial network</a>
</li>
<li style="list-style-type:none" class="">
<a href="cf1036dc_0380_487d_b9e8_c88855727319_xhtml" class="">Adversarial autoencoder&#xA0;</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="3641bfe7_069f_4dbe_953f_ec67a7ecb03f_xhtml" class="">Feature extraction using RBM</a>
<ol><li style="list-style-type:none" class="">
<a href="047a3636_8f5e_4a5a_b5b4_340f5ea085bd_xhtml" class="">Breast cancer dataset</a>
</li>
<li style="list-style-type:none" class="">
<a href="49f881be_51b6_481d_87d8_bc2a4ec6b23b_xhtml" class="">Data preparation</a>
</li>
<li style="list-style-type:none" class="">
<a href="a091d734_3e29_4152_8b73_e6df68f5be03_xhtml" class="">Model fitting</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="3bfa9d13_888d_45fc_9ac0_92b653e7b4a1_xhtml" class="">Autoencoder with Keras</a>
<ol><li style="list-style-type:none" class="">
<a href="4cbb13cc_da1b_4b3d_ac13_b1f7ed116c20_xhtml" class="">Load data</a>
</li>
<li style="list-style-type:none" class="">
<a href="cf41b475_9396_48e6_a1b1_de4726d79dc3_xhtml" class="">Keras model overview</a>
<ol><li style="list-style-type:none" class="">
<a href="11cc6670_3476_48c4_8150_fdf7aeb52c8c_xhtml" class="">Sequential model</a>
</li>
<li style="list-style-type:none" class="">
<a href="85ad76e9_2bd0_42e9_81fe_b0dc51250a2f_xhtml" class="">Keras functional API</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="53752ca7_0e2c_4a0a_a737_57218db55a87_xhtml" class="">Define model architecture</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="1a1c4c2d_726a_494b_bb4b_365181e7684f_xhtml" class="">Magenta</a>
<ol><li style="list-style-type:none" class="">
<a href="7159ef4d_f59e_4b44_9264_d1c2ce0e77a9_xhtml" class="">The NSynth dataset</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="fb5b9663_fb25_4317_98fd_4c51cfc9bf46_xhtml" class="">Summary</a>
</li>
</ol>
</li>
<li style="list-style-type:decimal" value="17" class="epub__chapter epub__chapter">
<a href="83525f2d_9e83_47a0_a2a0_86eb6f39a9c3_xhtml" class="epub__chapter epub__chapter">Chatbots</a>
<ol><li style="list-style-type:none" class="">
<a href="8c9f7aa2_da83_44c2_8145_e3af504422ec_xhtml" class="">Chatbots fundamentals</a>
<ol><li style="list-style-type:none" class="">
<a href="569022fc_3586_4fca_aaac_9cad1282a3aa_xhtml" class="">Chatbot history</a>
<ol><li style="list-style-type:none" class="">
<a href="937cc969_6ae5_4cd7_aa4b_8e318e18a603_xhtml" class="">The imitation game</a>
</li>
<li style="list-style-type:none" class="">
<a href="c2fa4422_fd57_4bf7_8bbd_fd3c3fde300c_xhtml" class="">Eliza</a>
</li>
<li style="list-style-type:none" class="">
<a href="fdef10ab_47f6_43eb_9c79_64c60596d3a9_xhtml" class="">Parry</a>
</li>
<li style="list-style-type:none" class="">
<a href="ee95f02d_4dd3_4da6_a859_9ed139db4328_xhtml" class="">Jabberwacky</a>
</li>
<li style="list-style-type:none" class="">
<a href="4330649e_846d_4df7_a593_4b795ad71ca6_xhtml" class="">Dr. Sbaitso</a>
</li>
<li style="list-style-type:none" class="">
<a href="4be5770a_843b_43e6_8404_b8b51cd66db8_xhtml" class="">ALICE</a>
</li>
<li style="list-style-type:none" class="">
<a href="c8264113_734a_4495_81b6_6bc27ab98eea_xhtml" class="">SmarterChild</a>
</li>
<li style="list-style-type:none" class="">
<a href="7b653857_7906_4892_999f_f37fe5d60763_xhtml" class="">IBM Watson</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="08f1566e_3c4c_46d0_acfa_58550cc174f3_xhtml" class="">Building a bot</a>
<ol><li style="list-style-type:none" class="">
<a href="190cf658_affd_4933_87d8_274eb818cb5e_xhtml" class="">Intents</a>
</li>
<li style="list-style-type:none" class="">
<a href="75b3e3d2_7ed7_4a98_bdda_ad6e74a53624_xhtml" class="">Entities</a>
</li>
<li style="list-style-type:none" class="">
<a href="8acbe3d6_4b88_4182_9efd_841ac6e97e1a_xhtml" class="">Context</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="1cd6339b_9274_4af7_96c2_bc970df2b2fc_xhtml" class="">Chatbots</a>
<ol><li style="list-style-type:none" class="">
<a href="14cb34a2_308b_4b87_890f_e569d91c617c_xhtml" class="">Essential requirements</a>
</li>
<li style="list-style-type:none" class="">
<a href="22010ee6_a38a_41c7_aee1_2ecc15839790_xhtml" class="">The importance of the text</a>
</li>
<li style="list-style-type:none" class="">
<a href="4fbb2975_e3f4_48f8_93b8_cb0f045cf8ad_xhtml" class="">Word transposition</a>
</li>
<li style="list-style-type:none" class="">
<a href="6d52ac52_635f_4007_aa6a_339be67f8de0_xhtml" class="">Checking a value against a pattern</a>
</li>
<li style="list-style-type:none" class="">
<a href="707c0e43_5d47_42bb_bc29_9c6f7c9a8722_xhtml" class="">Maintaining context</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="1bf29e02_9357_4cf6_9931_75af4ea6ad32_xhtml" class="">Chatbots architecture</a>
</li>
<li style="list-style-type:none" class="">
<a href="94b04007_1970_495a_b020_f24533bce44d_xhtml" class="">Natural language processing</a>
</li>
<li style="list-style-type:none" class="">
<a href="4c3fd323_be9f_484e_99f7_e1791836596c_xhtml" class="">Natural language understanding</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="8a64367e_6a65_4e14_a224_48f33737f86d_xhtml" class="">Google Cloud Dialogflow</a>
<ol><li style="list-style-type:none" class="">
<a href="1ba71691_57f3_4dd8_a4a3_fda83116d0ac_xhtml" class="">Dialogflow overview</a>
</li>
<li style="list-style-type:none" class="">
<a href="0c4e494c_b6fd_462b_a68d_161c0d69e354_xhtml" class="">Basics Dialogflow elements</a>
<ol><li style="list-style-type:none" class="">
<a href="276c7033_c3b0_4b99_ae5d_e8ecd2a4f16c_xhtml" class="">Agents</a>
</li>
<li style="list-style-type:none" class="">
<a href="8bd3b602_5960_40ac_87f7_575ee20c64ea_xhtml" class="">Intent</a>
</li>
<li style="list-style-type:none" class="">
<a href="b259267f_d57e_4cbe_abe2_9a142faac298_xhtml" class="">Entity</a>
</li>
<li style="list-style-type:none" class="">
<a href="5f19e105_bb1c_483b_be45_baafa8875718_xhtml" class="">Action</a>
</li>
<li style="list-style-type:none" class="">
<a href="c5804c0d_4cbb_4dc8_8e1a_b37ed9deb170_xhtml" class="">Context</a>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="4d665083_5777_43c2_8cd8_c348ea14447c_xhtml" class="">Building a chatbot with Dialogflow</a>
<ol><li style="list-style-type:none" class="">
<a href="5c5944a4_4c4a_4b66_a6b2_a2d73b80d9b6_xhtml" class="">Agent creation</a>
</li>
<li style="list-style-type:none" class="">
<a href="133ec404_2229_483d_a63d_13f594a85d3e_xhtml" class="">Intent definition</a>
</li>
</ol>
</li>
</ol>
</li>
<li style="list-style-type:none" class="">
<a href="8fdbd094_8f02_4886_b98f_e53cea93b974_xhtml" class="">Summary</a>
</li>
</ol>
</li>
</ol>
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