Neural-Network

1. Two Layer NN:

This workbook is regarding the python implementaion of 2 layered Neural Networks for 2 major supervised learnings that is Regression and Classification with 5 fold Cross Validation without the scikit-learn library.

1. Non-Linear Regression
2. Non-Linear Logistic Regression

Both were performed performed and compared on 3 different Activation Functions:

1. Hyperbolic Tangent
2. Sigmoid Function
3. ReLu function

2. Deep NN:

In this workbook, I have explored different Deep Neural Networks using Keras on a classification data. And analyzed their spped on CPU as well as on GPU using Google Colab.