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The Wayback Machine - https://web.archive.org/web/20200722110811/https://github.com/topics/backpropagation-algorithm
#
backpropagation-algorithm
Here are
58 public repositories
matching this topic...
A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
Updated
May 26, 2018
Haskell
一文彻底搞懂BP算法:原理推导+数据演示+项目实战
Updated
Jul 2, 2019
Python
Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)
Updated
Apr 20, 2020
Jupyter Notebook
matrix square root and its gradient
Updated
Sep 13, 2018
MATLAB
Updated
Jun 28, 2011
Python
Efficiently performs automatic differentiation on arbitrary functions. Basically a rudimentary version of Tensorflow.
Updated
Feb 18, 2017
Rust
Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
Updated
May 10, 2020
Python
Neural network/Back Propagation implemented from scratch for MNIST.从零开始实现神经网络和反向传播算法,识别MNIST
Updated
Nov 3, 2017
Python
Training an artificial neural network using back-propagation on MNIST dataset
Updated
Oct 27, 2018
MATLAB
Minimalist deep learning library with first and second-order optimization algorithms made for educational purpose
Updated
Jun 29, 2019
Python
MNIST Classification using Neural Network and Back Propagation. Written in Python and depends only on Numpy
Updated
Jan 31, 2018
Python
Neural network to predict chances of mortality if a patient undergoes a lung resection surgery.
Updated
Jul 12, 2020
Python
A basic implementation of a neural network in java, with back-propagation. Created for learning purposes.
Updated
Jun 20, 2016
Java
MATLAB implementations of a variety of machine learning/signal processing algorithms.
Updated
Aug 24, 2016
MATLAB
it is simple 2 layer neural network using only numpy as dependency
Updated
Jan 4, 2018
Jupyter Notebook
Updated
Jan 12, 2020
Jupyter Notebook
teaching material for my 2h graduate-level crash course on artificial neural networks
Updated
Nov 4, 2019
Jupyter Notebook
My custom implementation of the backpropagation algorithm used in artificial neural networks written in javascript
Updated
Jul 11, 2020
JavaScript
Implementation of a neural network with backpropagation algorithm
Updated
May 3, 2020
MATLAB
Multi-layered Convolutional Neural Network written in C++11
Updated
Apr 9, 2019
Jupyter Notebook
Implementation of a multilayer, feed-forward, fully-connected neural network trained using the gradient-descent based backpropagation algorithm
Four In A Row project for World Maker Faire 2018 - Ubuntu 18.04
Neural Network implementation with Numpy
Updated
Feb 17, 2020
Python
VTU Machine Learning lab programs in Python (2015 SCHEME)
Updated
Nov 25, 2019
Jupyter Notebook
Java implementarion for a Backpropagation Feedforward Neural Network with more than one hidden layer
Updated
Jun 30, 2017
Java
Implementation of neural networks from scratch using Python
Updated
Apr 3, 2017
Jupyter Notebook
Integrating backpropagation neural network in Stockfish
Updated
Mar 21, 2018
MATLAB
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