Implementing and Testing a Feed Forward Neural Network

I implemented and tested a feed forward neural network using pytorch in this project. (Link to Github Repo of Source Code). I tested my implementation using, AND, OR, NOT and XOR networks.

The forward propagation neural network is implemented in neural_network.py. The functionality of the classes defined in logic_gates.py relies on this neural network. The class representations of the AND, OR, NOT, and XOR gates is given in logic_gates.py.

The implemented classes were tested in test.py. The output of executing test.py is given below.

Written on April 8, 2018

Code. Debug. Repeat. Currently an SDE II at Amazon AI (AWS SageMaker Hosting). Always promoting curiosity, camaraderie and compassion. All opinions are my own.

Code. Debug. Repeat. Currently an SDE II at Amazon AI (AWS SageMaker Hosting). Always promoting curiosity, camaraderie and compassion. All opinions are my own.