A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
一文彻底搞懂BP算法:原理推导+数据演示+项目实战
A tiny neural network 🧠
Training spiking networks with hybrid ann-snn conversion and spike-based backpropagation
Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)
matrix square root and its gradient
Back Propagation, Python
Фреймворк для построения нейронных сетей, комитетов, создания агентов с параллельными вычислениями.
Efficiently performs automatic differentiation on arbitrary functions. Basically a rudimentary version of Tensorflow.
Neural Network in pure PHP
MATLAB implementations of a variety of machine learning/signal processing algorithms.
Minimalist deep learning library with first and second-order optimization algorithms made for educational purpose
Training an artificial neural network using back-propagation on MNIST dataset
Neural network/Back Propagation implemented from scratch for MNIST.从零开始实现神经网络和反向传播算法,识别MNIST
Multi-layered Convolutional Neural Network written in C++11
Mapping Spike Activities with Multiplicity, Adaptability, and Plasticity into Bio-Plausible Spiking Neural Networks
MNIST Classification using Neural Network and Back Propagation. Written in Python and depends only on Numpy
Implementation of different neural networks with back-propagation logic.
Implementation of a neural network with backpropagation algorithm
This a repo for the projects I completed during my Deep Learning Udacity Nanodegree.
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