A simple neural network for python autocompletion
A simple Python script showing how the backpropagation algorithm works.
Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron.
Simple neural networks based only on Numpy
A neural network with 3 layers made with just numpy as dependency
A Neural Network implemented from scratch (using only numpy) in Python.
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.
Neural Network Projects with Python, Published by Packt
TensorFlow implementation of "A Convolutional Neural Network Cascade for Face Detection", CVPR 2015
Implementation of a neural network from scratch in python.
Sample Code for Gated Graph Neural Networks
This folder contains the simple implementation of probabilistic neural network in python.
Handwritten Digit Recognition Using Convolutional Neural Network by Python
A guide to implementing a Recurrent Neural Network for text generation using Keras in Python
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