Simple neural networks based only on Numpy
Code samples are modified for Michael Nielsen's book Neural Networks and Deep Learning by python 3.x
Artificial Neural Networks / Python
Practical Convolutional Neural Networks, published by Packt
Code samples for my book "Neural Networks and Deep Learning"
This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks".
A small library for managing deep learning models, hyperparameters and datasets
Graph Neural Networks for Quantum Chemistry
A neural network with 3 layers made with just numpy as dependency
Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron.
A simple Python script showing how the backpropagation algorithm works.
Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).
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