README_raw.md

Multi-Layer Network

This tutorial is based on the construction of a three-layer network that learns to classify a 1000 dimension data point as a dimension label. This tutorial will detail the following:

• A raw implementation of three-layer network, in this case all fully connected layers, using just numpy
• Manual gradient computation for backpropogation with gradient descent
• Weight initialization techniques to counter vanishing gradient issues
• Use of Pytorch tensors and modules for very building and training

Numpy Implementation

:INCLUDE numpy_linear_model.py