Implementation of Neural Networks in Pure Numpy Only
mlp-npy-20.ipynb notebook contains the implementation of a 1 hidden layer neural network in pure Numpy. I have implemented the gradient computations as matrix multiplications of the Flattened Jacobian Matrices, the way it is (probably) implemented in popular libraries such as TensorFlow in the sense of computational graphs.