Neural-Net-2

M. Andoorveedu

An optimized version of Neural Net

References:

1. "A Step by Step Backpropagation Example" by Matt Mazur (Link: https://mattmazur.com/2015/03/17/a-step-by-step-backpropagation-example/) really helped me understand Backpropagation which made it possible for me to implement it in network.py
2. Scipy Library (Link: https://scipy.org/scipylib/index.html)
3. Numpy Library (Link: http://www.numpy.org/)
4. Wikipedia's Activation Function Page (Link: https://en.wikipedia.org/wiki/Activation_function) was indispensible for a list of activation functions, their derivatives, and other properties
5. Michael Nielsen's "Neural Networks and Deep Learning" (Link: http://neuralnetworksanddeeplearning.com/) was a great source to learn about what was made here