ICP8 - narhirep/Python-Deep-Learning GitHub Wiki

Welcome to the In Class Programming 8:

Description: In this ICP we will be having introduction to Deep Learning programming using Keras. As well we are gonna learn some of the applications of Deep Learning in the fields of vision and natural language processing.

Objective: To learn and implement basic NLP techniques and use Keras and tensorflow to predict the diabetes disease

Implementation:

1. Use the use case in the class: Add more dense layers to the existing code and check how the accuracy changes.

Following is the code:

Output:

2. Change the data source to Breast Cancer dataset which is available in the source code folder and make required changes. Report accuracy of the model.

Following is the code:

Output:

3. Normalize the data before feeding the data to the model and check how the normalization change your accuracy (code given below). from sklearn.preprocessing import StandardScalers c =StandardScaler()

Following is the code:

Output:

Video: ICP8

Conclusion: So we have learnt about Deep Learning using Keras and tensorflow in the fields of vision and Natural Language Processing. Also we predicted diabetes diesese.

Hardest part was to install Keras and tensorflow on MAC M1 chip, it took long time but still it did not work so finally I ran my code on google colab.