The following repository contains code for training neural networks only in numpy. It is a attempt to encourage an encourage a clear understanding of how neural networks are trained : Backprop and Gradient Descent
Function_Regression.ipynb The notebook contains code to train a neural network to overfit any function in a given range
Classification_MNIST.ipynb The notebook aims at training a neural network to classify the digits in the MNIST dataset
- Adam Optimizer
- CNN in numpy
- RNN in numpy