Topic: backprop Goto Github
Some thing interesting about backprop
Some thing interesting about backprop
backprop,The classic Kaggle Titanic data science challenge
User: afnanenayet
backprop,For Azimuth ACT course
User: cobord
Home Page: https://forum.azimuthproject.org/categories/applied-category-theory-course
backprop,Numpy neural network classifying japanese characters. Weights animations along the way.
User: fmerizzi
backprop,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.
User: gmongaras
backprop,Code for SEDONA: Search for Decoupled Neural Networks toward Greedy Block-wise Learning (ICLR 2021)
User: mjpyeon
backprop,Heterogeneous automatic differentiation ("backpropagation") in Haskell
User: mstksg
Home Page: https://backprop.jle.im
backprop,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.
User: niteshmethani
backprop,基于并行BP神经网络的人脸识别系统(终端)
Organization: pac-p2p
backprop,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
User: rayyanmirza123
backprop,Backpropagation in Neural Network (NN) with Python
User: sichkar-valentyn
Home Page: https://sichkar-valentyn.github.io/Backpropagation
backprop,perceptron, backprop, RBF, SOM, hopfield nets, autoencoders (no external ML libs)
User: tgll
backprop,Фреймворк для построения нейронных сетей, комитетов, создания агентов с параллельными вычислениями.
User: the-lans
backprop,Lecture notes on backpropagation
User: tushaargvs
backprop,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.
User: zbkruturaj
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