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backpropagation

Here are 871 public repositories matching this topic...

codeplea / genann

simple neural network library in ANSI C

c neural-network genetic-algorithm ansi tiny neural-networks artificial-neural-networks neurons ann backpropagation hidden-layers neural

Updated Jun 26, 2024
C

coreylowman / dfdx

Deep learning in Rust, with shape checked tensors and neural networks

rust machine-learning deep-neural-networks deep-learning neural-network gpu cuda autograd rust-lang gpu-acceleration cuda-kernels tensor gpu-computing backpropagation cudnn cuda-toolkit cuda-support autodiff autodifferentiation

Updated Jul 23, 2024
Rust

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 probability particle-filter graph-theory numerical-optimization backpropagation kalman-filter

Updated Sep 12, 2020
MATLAB

patrikeh / go-deep

Artificial Neural Network

golang deep-learning neural-network regression classification backpropagation

Updated Jul 11, 2024
Go

lijqhs / deeplearning-notes

Notes for Deep Learning Specialization Courses led by Andrew Ng.

data-science machine-learning statistics deep-learning neural-network algorithms notes tensorflow coursera cnn hyperparameter-optimization data-analysis summary deeplearning backpropagation andrew-ng bias-variance sequence-models overfitting

Updated Aug 14, 2022

Neural-Network-from-scratch

ahmedbesbes / Neural-Network-from-scratch

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

python tutorial numpy neural-networks backpropagation decision-boundary loss batch-gradient-descent

Updated Dec 24, 2018
Jupyter Notebook

emilwallner / Deep-Learning-From-Scratch

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

deep-learning linear-regression least-squares mnist perceptron gradient-descent backpropagation

Updated Oct 10, 2019
Jupyter Notebook

Jasonnor / Backpropagation

Implementing multilayer neural networks through backpropagation using Java.

java machine-learning neural-network java-swing backpropagation

Updated Mar 13, 2017
Java

sidroopdaska / SelfDrivingCar

A collection of all projects pertaining to different layers in the SDC software stack

opencv deep-neural-networks computer-vision deep-learning tensorflow scikit-learn keras scikit-image python3 classification self-driving-car deep-learning-library behavioral-cloning backpropagation computational-graphs lane-lines-detection vehicle-detection-and-tracking lane-tracking

Updated Apr 15, 2018
Jupyter Notebook

snrazavi / Machine_Learning_2018

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

python machine-learning clustering linear-regression regression neural-networks supervised-learning pca classification dimensionality-reduction logistic-regression recommender-system gradient-descent support-vector-machines backpropagation anomaly-detection unsupervised-machine-learning

Updated Sep 16, 2021
Jupyter Notebook

mstksg / backprop

Heterogeneous automatic differentiation ("backpropagation") in Haskell

deep-learning neural-network graph automatic-differentiation gradient-descent backpropagation backprop

Updated Jul 5, 2024
Haskell

MorvanZhou / npnet

Build neural networks based only on Numpy

neural-network simple numpy layer backpropagation

Updated Feb 14, 2023
Python

Somnibyte / MLKit

A simple machine learning framework written in Swift 🤖

swift machine-learning neural-network genetic-algorithm linear-regression machine-learning-algorithms regression artificial-intelligence machine-learning-library feedforward-neural-network kmeans ridge-regression polynomial-regression backpropagation kmeans-clustering mlkit lasso-regression

Updated Aug 28, 2018
Swift

ADGEfficiency / teaching-monolith

Data science teaching materials

python git bash statistics numpy test-driven-development backpropagation teaching-materials neural-networks-from-scratch

Updated Oct 9, 2024
Jupyter Notebook

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.

machine-learning deep-learning tensorflow automatic-differentiation pricing derivatives quantitative-finance notebooks regression-models backpropagation risk-management computational-finance aad risk-magazine

Updated Oct 5, 2022
Jupyter Notebook

DataForScience / DeepLearning

Deep Learning From Scratch

machine-learning tutorial deep-learning linear-regression mnist learning-algorithm logistic-regression perceptron backpropagation

Updated Jun 20, 2023
Jupyter Notebook

fotisk07 / Deep-Learning-Coursera

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

Updated Sep 8, 2018
Jupyter Notebook

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

Mathematics paper recapitulating the calculus behind a neural network and its back propagation

machine-learning deep-learning neural-network math guide artificial-neural-network backpropagation forward-propagation

Updated May 21, 2020
TeX

saschagrunert / nn

A tiny neural network 🧠

machine-learning haskell neural-network haskell-library neural-networks backpropagation backpropagation-algorithm

Updated May 26, 2018
Haskell

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

rust neural-network webassembly wasm data-visualization simd neural-networks gradient-descent backpropagation wasm-bindgen neural-networks-from-scratch

Updated Oct 6, 2024
Rust

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