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