Top backpropagation open source projects

This resource implements a deep neural network through Numpy, and is equipped with easy-to-understand theoretical derivation, mainly for the in-depth understanding of neural networks. 神经网络模型的理论证明与基于Numpy的实现。

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python neural-network proof-of-concept backpropagation

Genann

simple neural network library in ANSI C

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c neural-network neural-networks genetic-algorithm tiny artificial-neural-networks ansi neural backpropagation

Artificialintelligenceengines

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

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python deep-learning machine-learning artificial-intelligence reinforcement-learning neural-networks learning gan deeplearning backpropagation

Mathematics

数学知识点滴积累矩阵数值优化神经网络反向传播图优化概率论随机过程卡尔曼滤波粒子滤波数学函数拟合

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matlab matrix kalman-filter graph-theory probability backpropagation

Go Deep

Artificial Neural Network

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go golang deep-learning neural-network classification regression backpropagation

Deep Learning From Scratch

Six snippets of code that made deep learning what it is today.

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jupyter-notebook deep-learning mnist linear-regression gradient-descent backpropagation

RCNN MDP

Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.

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python Makefile CMake c C++shell learning machine-learning reinforcement-learning deep-reinforcement-learning recurrent-neural-networks convolutional-neural-networks backpropagation value-iteration

Minimalistic-Multiple-Layer-Neural-Network-from-Scratch-in-Python

Minimalistic Multiple Layer Neural Network from Scratch in Python.

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python deep-neural-networks deep-learning neural-network regression neural-networks deep-learning-algorithms classification perceptron gradient-descent backpropagation-learning-algorithm backpropagation neural-network-example depplearning

WhiteBox-Part1

In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)

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Jupyter Notebook machine-learning computer-vision deep-learning grad-cam mnist gradients backpropagation blackbox saliency-map cifar-10 smoothgrad guided-backpropagation interpretable-ai explainable-ai integrated-gradients evaluate-models

diffhask

DSL for forward and reverse mode automatic differentiation in Haskell. Port of DiffSharp.

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haskell deep-learning automatic-differentiation backpropagation diffsharp

mm-bp-snn

No description or website provided.

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Cuda C++matlab gpu-acceleration backpropagation deep-spiking-neural-networks neurips-2018

Machine-Learning-in-Python-Workshop

My workshop on machine learning using python language to implement different algorithms

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Jupyter Notebook python machine-learning workshop deep-learning numpy scikit-learn keras dropout batch-normalization neural-networks matplotlib convolutional-neural-networks gradient-descent backpropagation optimization-algorithms softmax machine-learning-workshop linear-classification

Learning-Lab-C-Library

This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated

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