backprop
There are 15 repositories under backprop topic.
mstksg/backprop
Heterogeneous automatic differentiation ("backpropagation") in Haskell
the-lans/NeuroRepository
Фреймворк для построения нейронных сетей, комитетов, создания агентов с параллельными вычислениями.
NiteshMethani/Deep-Learning-CS7015
This repository contains all my theroy reports, written assignments and programming code that I wrote/referrd for the DL course at IIT,Madras taught my advisor Prof.Mitesh Khapra.
mjpyeon/sedona
Code for SEDONA: Search for Decoupled Neural Networks toward Greedy Block-wise Learning (ICLR 2021)
Cobord/Azimuth-Applied-Category-Theory
For Azimuth ACT course
PAC-P2P/BPNN-Face-Recognition-For-Terminal
基于并行BP神经网络的人脸识别系统（终端）
gmongaras/Visualizing_Gradient_Descent_For_BCE_Loss
Using only numpy in Python, a neural network with a forward and backward method is used to classify given points (x1, x2) to a color of red or blue.
rayyanmirza123/NeuralNet
A Simple Neural Network Engine in c++ which implements back-propagation algorithm it contains lots of flaws and it is intended to used for fun only
sichkar-valentyn/Backpropagation
Backpropagation in Neural Network (NN) with Python
tgll/neuralnetworks-labs
perceptron, backprop, RBF, SOM, hopfield nets, autoencoders (no external ML libs)
TushaarGVS/backprop-lecture-notes-CS-4740
Lecture notes on backpropagation
zbkruturaj/NeuralNetworksInPython
I have designed these neural networks to revise the mathematics involved in their training, I have derived by hand all of the backprop and learning equations. These neural networks may not be the most efficient but, efficiency was not the aim here. The aim here was understanding. The various networks contained include a Rosenblatt Perceptron, a single layer sigmoid neuron, a custom multi-layered perceptron and a specific version of RNN.
fmerizzi/optimization_neural_net
Numpy neural network classifying japanese characters. Weights animations along the way.
MultiTrickFox/Kapi
Neural Net Library w/ OpenCL Backend
afnanenayet/kaggle-titanic
The classic Kaggle Titanic data science challenge