meProp: Sparsified Back Propagation for Accelerated Deep Learning (ICML 2017)
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Updated
Mar 29, 2022 - C#
meProp: Sparsified Back Propagation for Accelerated Deep Learning (ICML 2017)
Low dependency(C++11 STL only), good portability, header-only, deep neural networks for embedded
Core neural networks framework supporting to build multilayer perceptron
Abstract operators for large scale optimization in Julia
Biologically-Inspired and Machine Learning Algorithms written in Python
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
基于并行BP神经网络的人脸识别系统(并行)
chronic kidney disease detection using different neural network technique
Real-world application sized Neural Network. Implemented back-propagation algorithm with momentum, auto-encoder network, dropout during learning, least mean squares algorithm.
Implemented random feedback alignment. This algorithm is one solution to the weight transport problem. The algorithm is based on the paper:
Basics of convolutional Neural Network, back propagation and some sample programs like digit classifier, basic yolo ...
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).
Gradient_descent_Complete_In_Depth_for beginners
Neural Network Based UAV Routing
A simple, lightweight and powerful ML framework for Lua.
Project 1 from Udacity's Deep Learning Nanodegree Foundation
Optimal brain damage, Back propagation, Neural Network
Recreating PyTorch from scratch, using Numpy. Supports FCN, CNN, RNN layers.
a simple application of neural network of AI
Detailed implementation of various machine learning algorithms from scratch using python language.
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