This is a python/numpy implementation of standard neural network techniques.
The tensornetwork module contains:
- Sigmoid, Tanh, and (leaky) ReLU activation functions
- Dense, convolutional, and many simpler networks structures
- Pointwise tensor operations for implementing residual networks
- Forward/back propagation algorithms for managing arbitrary networks
See the Jupyter notebooks for usage examples.