Welcome to the hello-world wiki!

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deepsense.ai Python online python-course.eu https://playground.tensorflow.org/ https://www.manning.com/dashboard http://www.portalaction.com.br/probabilidades/619-distribuicao-de-rayleigh https://www.probabilitycourse.com/chapter1/1_4_0_conditional_probability.php CNN dogs and cats Keras

​Tools

​https://docs.scipy.org/doc/numpy/index.html https://www.tensorflow.org/api_docs/python/tf/keras Tensor Board​

https://amin-ahmadi.com/2020/03/07/computer-vision-docker-image-with-tensorflow-and-opencv/

Ferramentas locais

​Jupyter local

​Papers

​MIKOLOV eficient estimation of word representatios - Word2Vec

​https://git.bcnet.bcb.gov.br/dides/mlaas

​Cursos

coursera.svg ​Coursera-DL
https://developers.google.com/machine-learning/crash-course/prereqs-and-prework https://deeplearning.mit.edu/ http://cs231n.stanford.edu/ https://cs230.stanford.edu/ Khan Academy > Gradiente datacamp tensorflow course ​https://colab.research.google.com/github/lmoroney/dlaicourse

​Ideias

​sigmoid.inputs : x, 10( 1/(1+e^(-0.6x)) - 0.5 ), 10( 1/(1+e^(-0.3x)) - 0.5 ) x, 11​(1/​(1+​e^​‑(0.6​x))-​0.5), 11​(1/​(1+​e^​‑(0.3​x))-​0.5), 33​(1/​(1+​e^​‑(0.15​x))-​0.5) graf ​Math - Calculo ​https://www.intmath.com/differentiation-transcendental/5-derivative-logarithm.php ilustracao de backprop

Eventos

​https://www.alltechconferences.com/

​Sites especializados

​https://towardsdatascience.com/ https://pathmind.com/wiki/word2vec https://deepmind.com/blog/article/Dopamine-and-temporal-difference-learning-A-fruitful-relationship-between-neuroscience-and-AI https://www.enterpriseai.news/2019/08/26/ai-implementation-challenges-a-primer/

NVIDIA JN

​https://devtalk.nvidia.com/default/topic/1048642/jetson-nano/links-to-jetson-nano-resources-amp-wiki/ https://category.yahboom.net/products/nvidia-jetson-nano-board - http://www.yahboom.net/study/JETBOT https://github.com/JetsonHacksNano/

openCV2

https://docs.opencv.org/master/dd/d43/tutorial_py_video_display.html https://www.learnopencv.com/install-opencv-docker-image-ubuntu-macos-windows/

​Convolutional NN

cnn 3d.png ​http://www.robots.ox.ac.uk/~vgg/practicals/cnn/index.html#part-33-learning-with-gradient-descent https://medium.com/analytics-vidhya/cnns-architectures-lenet-alexnet-vgg-googlenet-resnet-and-more-666091488df5 https://github.com/PacktPublishing/Hands-On-Computer-Vision-with-TensorFlow-2

​NLP

https://aegis4048.github.io/demystifying_neural_network_in_skip_gram_language_modeling ​https://aegis4048.github.io/understanding_multi-dimensionality_in_vector_space_modeling http://web.stanford.edu/class/cs224n/ http://mccormickml.com/2016/04/19/word2vec-tutorial-the-skip-gram-model/