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.