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backpropagation

Here are 627 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 Aug 16, 2021
C

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 Jan 29, 2022
Go

emilwallner / Deep-Learning-From-Scratch

Sponsor

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

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

Jasonnor / Backpropagation

Implementing multilayer neural networks through backpropagation using Java.

java machine-learning neural-network java-swing backpropagation

Updated Mar 13, 2017
Java

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 Jan 10, 2021

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

Sponsor

Heterogeneous automatic differentiation ("backpropagation") in Haskell

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

Updated Jan 15, 2022
Haskell

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

MorvanZhou / npnet

Simple neural networks based only on Numpy

neural-network simple numpy layer backpropagation

Updated Jun 8, 2022
Python

ADGEfficiency / teaching-monolith

Data science teaching materials

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

Updated Jun 21, 2022
Jupyter Notebook

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

Sponsor

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

fotisk07 / Deep-Learning-Coursera

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

deep-neural-networks ai deep-learning neural-network tensorflow keras jupyter-notebook rnn matplotlib gradient-descent backpropagation-learning-algorithm music-generation backpropagation keras-neural-networks poetry-generator numpy-tutorial lstm-neural-networks cnn-for-visual-recognition deeplearning-ai cnn-classification

Updated Sep 8, 2018
Jupyter Notebook

saschagrunert / nn

Sponsor

A tiny neural network 🧠

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

Updated May 26, 2018
Haskell

DataForScience / DeepLearning

Deep Learning From Scratch

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

Updated Jun 22, 2022
Jupyter Notebook

snrazavi / Machine-Learning-in-Python-Workshop

My workshop on machine learning using python language to implement different algorithms

python machine-learning workshop deep-learning numpy scikit-learn keras dropout batch-normalization neural-networks matplotlib convolutional-neural-networks gradient-descent backpropagation optimization-algorithms softmax machine-learning-workshop linear-classification

Updated Jan 24, 2020
Jupyter Notebook

aditya9211 / Blur-and-Clear-Classification

Classifying the Blur and Clear Images

python machine-learning computer-vision neural-network image-processing neural-networks image-classification artificial-neural-networks ann backpropagation neural-nets median-filter stochastic-gradient-descent classification-algorithm blur-detection grayscale-images blurred-images softmax-layer laplace-smoothing clear-images

Updated Jun 21, 2022
Python

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 Nov 26, 2021
Jupyter Notebook

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 backpropagation numpy-neuralnet-exercise

Updated Aug 4, 2019
Python

tanmayshankar / RCNN_MDP

Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.

learning machine-learning reinforcement-learning deep-reinforcement-learning recurrent-neural-networks convolutional-neural-networks backpropagation value-iteration

Updated Oct 29, 2017
Python

RubixML / Sentiment

Sponsor

An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.

php machine-learning natural-language-processing tutorial deep-learning sentiment-analysis neural-network text-classification sentiment prediction imdb hyperparameters dataset tf-idf gradient-descent example-project multi-layer-perceptron backpropagation hidden-layers learning-rate sentiment-classification php-ml text-sentiment machine-learning-tutorial php-machine-learning

Updated Jul 14, 2021
PHP

Lucifier129 / simple-machine-learning-demo

simple machine learning demo

machine-learning neural-network gradient-descent backpropagation

Updated Oct 1, 2020
JavaScript

MikhailKravets / NeuroFlow

Awesome deep learning crate

rust machine-learning deep-learning neural-network nn backpropagation neural-network-rust

Updated Jan 29, 2021
Rust

greydanus / excitationbp

Visualizing how deep networks make decisions

visualization python computer-vision deep-learning backpropagation excitation contrastive explainable-artificial-intelligence

Updated Jul 12, 2019
Jupyter Notebook

OmarAflak / Medium-Python-Neural-Network

This code is part of my post on Medium.

machine-learning medium neural-network backpropagation from-scratch medium-article

Updated May 26, 2019
Python

imurray / chol-rev

Backpropagate derivatives through the Cholesky decomposition

automatic-differentiation backpropagation differentiation cholesky cholesky-decomposition

Updated May 30, 2020
Fortran

v-iashin / CS231n

PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"

machine-learning computer-vision deep-learning neural-network solutions tensorflow numpy jupyter-notebook stanford-university assignment pytorch recurrent-neural-networks lstm generative-adversarial-network style-transfer convolutional-neural-networks backpropagation svm-classifier adam-optimizer sgd-optimizer

Updated Jan 27, 2021
Jupyter Notebook

jgvfwstone / ArtificialIntelligenceEngines

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

learning machine-learning reinforcement-learning deep-learning artificial-intelligence gan neural-networks deeplearning perceptron backpropagation variational-autoencoders boltzmann-machine perceptron-neural-networks hopfield-neural-network

Updated Feb 29, 2020
Python

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