This is an efficient implementation of a fully connected neural network in NumPy. The network can be trained by a variety of learning algorithms: backpropagation, resilient backpropagation and scaled conjugate gradient learning. The network has been developed with PYPY in mind.
A neural network with 3 layers made with just numpy as dependency
A Neural Network implemented from scratch (using only numpy) in Python.
A simple Python script showing how the backpropagation algorithm works.
Neural Network Projects with Python, Published by Packt
Sample Code for Gated Graph Neural Networks
Implementation of a neural network from scratch in python.
A guide to implementing a Convolutional Neural Network for Object Classification using Keras in Python
Handwritten Digit Recognition Using Convolutional Neural Network by Python