backpropagation

There are 9 repositories under backpropagation topic.

codeplea / genann
simple neural network library in ANSI C
backpropagation genetic-algorithm artificial-neural-networks ann neurons hidden-layers neural-network neural-networks neural ansi c tiny
Language:C 1978
coreylowman / dfdx
Deep learning in Rust, with shape checked tensors and neural networks
rust autograd autodiff machine-learning neural-network autodifferentiation rust-lang backpropagation tensor deep-learning deep-neural-networks cuda cuda-kernels cuda-support cuda-toolkit gpu gpu-acceleration gpu-computing cudnn
Language:Rust 1705
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
matrix numerical-optimization probability backpropagation graph-theory kalman-filter particle-filter
Language:MATLAB 683
patrikeh / go-deep
Artificial Neural Network
neural-network deep-learning classification regression backpropagation golang
Language:Go 529
lijqhs / deeplearning-notes
Notes for Deep Learning Specialization Courses led by Andrew Ng.
deep-learning data-science machine-learning algorithms coursera statistics neural-network cnn tensorflow deeplearning andrew-ng bias-variance overfitting backpropagation sequence-models data-analysis notes hyperparameter-optimization summary
420
Neural-Network-from-scratch
ahmedbesbes / Neural-Network-from-scratch
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
neural-networks backpropagation batch-gradient-descent numpy tutorial python loss decision-boundary
Language:Jupyter Notebook 263
emilwallner / Deep-Learning-From-Scratch
Six snippets of code that made deep learning what it is today.
deep-learning linear-regression mnist perceptron least-squares gradient-descent backpropagation
Language:Jupyter Notebook 259
Jasonnor / Backpropagation
Implementing multilayer neural networks through backpropagation using Java.
backpropagation java-swing java machine-learning neural-network
Language:Java 246
sidroopdaska / SelfDrivingCar
A collection of all projects pertaining to different layers in the SDC software stack
self-driving-car deep-learning deep-neural-networks opencv computer-vision behavioral-cloning lane-lines-detection computational-graphs backpropagation deep-learning-library keras tensorflow classification vehicle-detection-and-tracking python3 lane-tracking scikit-learn scikit-image
Language:Jupyter Notebook 225
snrazavi / Machine_Learning_2018
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
machine-learning regression classification logistic-regression neural-networks support-vector-machines clustering dimensionality-reduction pca recommender-system anomaly-detection python linear-regression supervised-learning unsupervised-machine-learning gradient-descent backpropagation
Language:Jupyter Notebook 205
mstksg / backprop
Heterogeneous automatic differentiation ("backpropagation") in Haskell
backprop graph backpropagation deep-learning neural-network gradient-descent automatic-differentiation
Language:Haskell 178
MorvanZhou / npnet
Build neural networks based only on Numpy
numpy neural-network simple layer backpropagation
Language:Python 163
Somnibyte / MLKit
A simple machine learning framework written in Swift 🤖
regression ridge-regression swift machine-learning machine-learning-algorithms artificial-intelligence polynomial-regression linear-regression machine-learning-library mlkit kmeans-clustering neural-network feedforward-neural-network backpropagation lasso-regression kmeans genetic-algorithm
Language:Swift 152
ADGEfficiency / teaching-monolith
Data science teaching materials
teaching-materials test-driven-development backpropagation neural-networks-from-scratch bash git numpy statistics python
Language:Jupyter Notebook 146
DataForScience / DeepLearning
Deep Learning From Scratch
deep-learning tutorial machine-learning linear-regression logistic-regression perceptron mnist backpropagation learning-algorithm
Language:Jupyter Notebook 136
notebooks
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.
quantitative-finance computational-finance derivatives risk-management pricing machine-learning deep-learning automatic-differentiation aad tensorflow notebooks regression-models risk-magazine backpropagation
Language:Jupyter Notebook 136
fotisk07 / Deep-Learning-Coursera
Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
neural-network ai matplotlib numpy-tutorial deep-learning deep-neural-networks backpropagation backpropagation-learning-algorithm gradient-descent deeplearning-ai jupyter-notebook rnn keras keras-neural-networks tensorflow cnn-classification cnn-for-visual-recognition lstm-neural-networks poetry-generator music-generation
Language:Jupyter Notebook 135
olivia-ai / the-math-behind-a-neural-network
Mathematics paper recapitulating the calculus behind a neural network and its back propagation
math neural-network forward-propagation backpropagation machine-learning guide artificial-neural-network deep-learning
Language:TeX 129
saschagrunert / nn
A tiny neural network 🧠
haskell backpropagation backpropagation-algorithm machine-learning neural-network neural-networks haskell-library
Language:Haskell 125
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
neural-network rust webassembly gradient-descent backpropagation neural-networks neural-networks-from-scratch wasm-bindgen wasm simd data-visualization
Language:Rust 123
aditya9211 / Blur-and-Clear-Classification
Classifying the Blur and Clear Images
neural-nets ann neural-network neural-networks backpropagation stochastic-gradient-descent blur-detection blurred-images clear-images median-filter computer-vision laplace-smoothing classification-algorithm image-classification image-processing machine-learning artificial-neural-networks softmax-layer grayscale-images python
Language:Python 119
snrazavi / Machine-Learning-in-Python-Workshop
My workshop on machine learning using python language to implement different algorithms
machine-learning numpy matplotlib scikit-learn linear-classification workshop machine-learning-workshop softmax gradient-descent neural-networks backpropagation dropout batch-normalization optimization-algorithms deep-learning convolutional-neural-networks keras python
Language:Jupyter Notebook 117
MikhailKravets / NeuroFlow
Awesome deep learning crate
neural-network-rust neural-network rust nn backpropagation deep-learning machine-learning
Language:Rust 115
omaraflak / Medium-Python-Neural-Network
This code is part of my post on Medium.
neural-network from-scratch machine-learning backpropagation medium-article medium
Language:Python 105
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.
sentiment-analysis sentiment-classification neural-network natural-language-processing machine-learning text-classification deep-learning tf-idf tutorial example-project imdb dataset text-sentiment gradient-descent backpropagation php machine-learning-tutorial multi-layer-perceptron php-ml php-machine-learning
Language:PHP 104
pvlachas / RNN-RC-Chaos
RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.
rnn rc chaos echo-state-networks recurrent-neural-networks kuramoto-sivashinsky lorenz-96 lorenz-3d reservoir-computing reservoir-computer backpropagation forecasting esn rnn-tensorflow rnn-gru rnn-lstm
Language:Python 84
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。
proof-of-concept neural-network numpy-neuralnet-exercise backpropagation
Language:Python 77
davidalbertonogueira / MLP
Simple multilayer perceptron c++ implementation.
mlp backpropagation multilayer-perceptron-network machine-learning perceptron
Language:C++ 72
tanmayshankar / RCNN_MDP
Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.
reinforcement-learning backpropagation recurrent-neural-networks convolutional-neural-networks value-iteration learning machine-learning deep-reinforcement-learning
Language:Python 69
greydanus / excitationbp
Visualizing how deep networks make decisions
backpropagation explainable-artificial-intelligence computer-vision deep-learning excitation visualization contrastive python
Language:Jupyter Notebook 66
Lucifier129 / simple-machine-learning-demo
simple machine learning demo
machine-learning neural-network gradient-descent backpropagation
Language:JavaScript 64
jgvfwstone / ArtificialIntelligenceEngines
Computer code collated for use with Artificial Intelligence Engines book by JV Stone
learning perceptron gan hopfield-neural-network boltzmann-machine variational-autoencoders perceptron-neural-networks artificial-intelligence machine-learning backpropagation deep-learning neural-networks reinforcement-learning deeplearning
Language:Python 59
imurray / chol-rev
Backpropagate derivatives through the Cholesky decomposition
cholesky-decomposition cholesky automatic-differentiation backpropagation differentiation
Language:Fortran 57
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
eigenvalues eigenvectors gram-schmidt linear-algebra pagerank-algorithm transformation-matrix multivariate-calculus backpropagation hessian jacobian lagrange linear-regression neural-networks newton-raphson sandpit taylor-series
Language:Jupyter Notebook 56
piyush2896 / PSO-for-Neural-Nets
Particle Swarm Optimizer For Neural Network Training
particle-swarm-optimization neural-networks backpropagation meta-learning predictiveprogrammer
Language:Python 54
v-iashin / CS231n
PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
computer-vision convolutional-neural-networks neural-network machine-learning stanford-university backpropagation recurrent-neural-networks lstm style-transfer generative-adversarial-network jupyter-notebook tensorflow svm-classifier adam-optimizer sgd-optimizer numpy solutions assignment pytorch deep-learning
Language:Jupyter Notebook 51

backpropagation

codeplea / genann

coreylowman / dfdx

Ewenwan / Mathematics

patrikeh / go-deep

lijqhs / deeplearning-notes

ahmedbesbes / Neural-Network-from-scratch

emilwallner / Deep-Learning-From-Scratch

Jasonnor / Backpropagation

sidroopdaska / SelfDrivingCar

snrazavi / Machine_Learning_2018

mstksg / backprop

MorvanZhou / npnet

Somnibyte / MLKit

ADGEfficiency / teaching-monolith

DataForScience / DeepLearning

differential-machine-learning / notebooks

fotisk07 / Deep-Learning-Coursera

olivia-ai / the-math-behind-a-neural-network

saschagrunert / nn

Ameobea / neural-network-from-scratch

aditya9211 / Blur-and-Clear-Classification

snrazavi / Machine-Learning-in-Python-Workshop

MikhailKravets / NeuroFlow

omaraflak / Medium-Python-Neural-Network

RubixML / Sentiment

pvlachas / RNN-RC-Chaos

yuanxiaosc / Theoretical-Proof-of-Neural-Network-Model-and-Implementation-Based-on-Numpy

davidalbertonogueira / MLP

tanmayshankar / RCNN_MDP

greydanus / excitationbp

Lucifier129 / simple-machine-learning-demo

jgvfwstone / ArtificialIntelligenceEngines

imurray / chol-rev

shantanu1109 / Coursera-Imperial-College-of-London-Mathematics-For-Machine-Learning-Specialization

piyush2896 / PSO-for-Neural-Nets

v-iashin / CS231n