backpropagation
There are 843 repositories under backpropagation topic.
codeplea/genann
simple neural network library in ANSI C
coreylowman/dfdx
Deep learning in Rust, with shape checked tensors and neural networks
Ewenwan/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
patrikeh/go-deep
Artificial Neural Network
lijqhs/deeplearning-notes
Notes for Deep Learning Specialization Courses led by Andrew Ng.
ahmedbesbes/Neural-Network-from-scratch
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
emilwallner/Deep-Learning-From-Scratch
Six snippets of code that made deep learning what it is today.
Jasonnor/Backpropagation
Implementing multilayer neural networks through backpropagation using Java.
sidroopdaska/SelfDrivingCar
A collection of all projects pertaining to different layers in the SDC software stack
snrazavi/Machine_Learning_2018
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
mstksg/backprop
Heterogeneous automatic differentiation ("backpropagation") in Haskell
MorvanZhou/npnet
Build neural networks based only on Numpy
Somnibyte/MLKit
A simple machine learning framework written in Swift 🤖
ADGEfficiency/teaching-monolith
Data science teaching materials
DataForScience/DeepLearning
Deep Learning From Scratch
differential-machine-learning/notebooks
Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.
fotisk07/Deep-Learning-Coursera
Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
olivia-ai/the-math-behind-a-neural-network
Mathematics paper recapitulating the calculus behind a neural network and its back propagation
saschagrunert/nn
A tiny neural network 🧠
Ameobea/neural-network-from-scratch
A neural network library written from scratch in Rust along with a web-based application for building + training neural networks + visualizing their outputs
aditya9211/Blur-and-Clear-Classification
Classifying the Blur and Clear Images
snrazavi/Machine-Learning-in-Python-Workshop
My workshop on machine learning using python language to implement different algorithms
MikhailKravets/NeuroFlow
Awesome deep learning crate
omaraflak/Medium-Python-Neural-Network
This code is part of my post on Medium.
RubixML/Sentiment
An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.
pvlachas/RNN-RC-Chaos
RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.
yuanxiaosc/Theoretical-Proof-of-Neural-Network-Model-and-Implementation-Based-on-Numpy
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。
davidalbertonogueira/MLP
Simple multilayer perceptron c++ implementation.
tanmayshankar/RCNN_MDP
Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.
greydanus/excitationbp
Visualizing how deep networks make decisions
Lucifier129/simple-machine-learning-demo
simple machine learning demo
shantanu1109/Coursera-Imperial-College-of-London-Mathematics-For-Machine-Learning-Specialization
This Repository contains Solutions to the Quizes & Lab Assignments of the Mathematics for Machine Learning Specialization offered by Imperial College of London on Coursera taught by David Dye, Samuel J. Cooper, A. Freddie Page, Marc Peter Deisenroth
jgvfwstone/ArtificialIntelligenceEngines
Computer code collated for use with Artificial Intelligence Engines book by JV Stone
imurray/chol-rev
Backpropagate derivatives through the Cholesky decomposition
piyush2896/PSO-for-Neural-Nets
Particle Swarm Optimizer For Neural Network Training
v-iashin/CS231n
PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"