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
Biologically-Inspired and Machine Learning Algorithms written in Python
Recreating PyTorch from scratch, using Numpy. Supports FCN, CNN, RNN layers.
Abstract operators for large scale optimization in Julia
Core neural networks framework supporting to build multilayer perceptron
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
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).
Applied modern C/C++ in calculus, discrete mathematics, robotics and machine learning with CMake.
基于并行BP神经网络的人脸识别系统(并行)
Neural_Networks_From_Scratch
Encog is a NodeJs ES6 framework based on the Encog Machine Learning Framework by Jeff Heaton.
Feed Forward Multi-Layer Neural Network implemented in C++ 17, optimized using OpenMP 5.1 and tested on fashion MNIST dataset.
Gradient_descent_Complete_In_Depth_for beginners
Learning from https://github.com/Maitreya-Bhatkhande/neural-network-from-scratch-numpy. It's a practice of handmade Neural Network. The highlight is about some insights about my headache when I was learning it. I've also made some improvements about it and illustrate some important concepts.
chronic kidney disease detection using different neural network technique
Neural Network Based UAV Routing
Optimal brain damage, Back propagation, Neural Network
A classifier to differentiate between Cat and Non-Cat Images
Cognitive systems modelling on SpiNNaker
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