Topic: back-propagation Goto Github
Some thing interesting about back-propagation
Some thing interesting about back-propagation
back-propagation,chronic kidney disease detection using different neural network technique
User: ahmedissa11
back-propagation,
User: amatov
Home Page: https://www.researchgate.net/publication/374166145_Matov_Resume_2024
back-propagation,Feed Forward Multi-Layer Neural Network implemented in C++ 17, optimized using OpenMP 5.1 and tested on fashion MNIST dataset.
User: andreaskaratzas
back-propagation,Recreating PyTorch from scratch, using Numpy. Supports FCN, CNN, RNN layers.
User: arthurdjn
back-propagation,a simple application of neural network of AI
User: benyasin
Home Page: http://wtet.site:3000
back-propagation,mnist data training and testing with back propagation
User: binglel
back-propagation,Project for Intro to AI @ UW - Madison Fall 2019
User: cjdunteman
back-propagation,A basic back propagation neural net written in Processing.
Organization: codingstudiosuk
back-propagation,This repository contains codes of deep deducing playing Game of Life.
User: deepdeducing
back-propagation,Built a 2-layer, feed-forward neural network and trained it using the back-propagation algorithm to solve a multi-class classification problem for recognizing images of handwritten digits.
User: dorisduan06
back-propagation,MLP( B.P ) / Hopfield
User: fordevoted
back-propagation,Machine learning experiments in Julia
User: frenkield
back-propagation,Neural Network Based UAV Routing
User: galarius
back-propagation,Self-define nn model and code ONLY BY numpy!!! Please star it~~
User: gmlyytt-yang
back-propagation,Optimal brain damage, Back propagation, Neural Network
User: gokaytitrek
back-propagation,Code examples of neural networks (learning)
User: hemae
back-propagation,Biologically-Inspired and Machine Learning Algorithms written in Python
User: jaredthecoder
back-propagation,This is a software application to detect network intrusion by monitoring a network or system for malicious activity and predicts whether it is Normal or Abnormal(attacked with intrusion classes like DOS/PROBE/R2L/U2R).
User: kkmk11
back-propagation,Abstract operators for large scale optimization in Julia
Organization: kul-optec
back-propagation,Neural_Network for handwritten numbers detection in Octave (free Matlab)
User: kyziridis
back-propagation,meProp: Sparsified Back Propagation for Accelerated Deep Learning (ICML 2017)
Organization: lancopku
back-propagation,Implemented gradient descent algorithm and its variants from scratch and visualized their results by training models, for comparison and learning purposes
User: mansi-k
back-propagation,A classifier to differentiate between Cat and Non-Cat Images
User: mb11797
back-propagation,🤖 Artificial intelligence (neural network) proof of concept to solve the classic XOR problem. It uses known concepts to solve problems in neural networks, such as Gradient Descent, Feed Forward and Back Propagation.
User: melchisedech333
back-propagation,This is a software application to detect network intrusion by monitoring a network or system for malicious activity and predicts whether it is Normal or Abnormal(attacked with intrusion classes like DOS/PROBE/R2L/U2R).
User: mittukoushik
back-propagation,A simple, lightweight and powerful ML framework for Lua.
User: mochji
back-propagation,Gradient_descent_Complete_In_Depth_for beginners
User: moindalvs
back-propagation,Neural_Networks_From_Scratch
User: moindalvs
back-propagation,Low dependency(C++11 STL only), good portability, header-only, deep neural networks for embedded
User: mosdeo
back-propagation,Detailed implementation of various machine learning algorithms from scratch using python language.
User: navjindervirdee
Home Page: https://www.youtube.com/playlist?list=PLi0-K2DJIwbuXNymZC5kpC5V_o4PhUWlo
back-propagation,Python neural network built from scratch. Uses Machine Learning algorithms to correctly classify handwritten numbers into digits.
User: nikhildagarwal
back-propagation,基于并行BP神经网络的人脸识别系统(并行)
Organization: pac-p2p
back-propagation,A solution to the 18th_MathModeling Contest
User: pangxiaox
back-propagation,Implementation of a two-layer perceptron (from scratch) with four back-propagation methods in Python
User: parham1998
back-propagation,Implemented random feedback alignment. This algorithm is one solution to the weight transport problem. The algorithm is based on the paper:
User: prashanth-prakash
Home Page: https://www.nature.com/articles/ncomms13276
back-propagation,Classification of data using neural networks — with back propagation (multilayer perceptron) and with counter propagation
User: quwarm
back-propagation,Encog is a NodeJs ES6 framework based on the Encog Machine Learning Framework by Jeff Heaton.
User: redsoul
back-propagation,Popular predictive models and optimizers implemented in pure Python.
User: sadighian
back-propagation,Simple first principles models on neural network concepts. Models include perceptron, gradient descent, back propagation, and applying keras and Tensors on datasets.
User: sbalas
back-propagation,Core neural networks framework supporting to build multilayer perceptron
User: serengil
back-propagation,Second assignment of Neural and Evolutionary Computation (NEC) at URV
User: sergisalido
back-propagation,This project implements the backpropagation algorithm and compares it with pytorch's implementation.
User: simsam8
back-propagation,Basics of convolutional Neural Network, back propagation and some sample programs like digit classifier, basic yolo ...
User: sonugiri1043
back-propagation,Cognitive systems modelling on SpiNNaker
Organization: spinnakermanchester
back-propagation,3 versions of Perceptron: normal Perceptron; Perceptron GUI; Multilayer Perceptron GUI, back propagation,感知机,感知器,BP 神经网络,反向传播,多层感知器,多层感知机
User: timmmgz
back-propagation,This repo includes C++ and Python Sources of some algorithms for Perceptron and Classification.
User: tranleanh
back-propagation,A simple Neural Network library for JavaScript
User: tyrelh
back-propagation,Real-world application sized Neural Network. Implemented back-propagation algorithm with momentum, auto-encoder network, dropout during learning, least mean squares algorithm.
User: utsav507
back-propagation,Custom Neural Network
User: uzairkhaskheli
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