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.

Neural Network in pure PHP

Efficiently performs automatic differentiation on arbitrary functions. Basically a rudimentary version of Tensorflow.

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

🤖 Artificial intelligence (neural network) proof of concept to solve the classic XOR problem. It uses known concepts to solve problems in neural networks, such as Gradient Descent, Feed Forward and Back Propagation.

Implementation of different neural networks with back-propagation logic.

This a repo for the projects I completed during my Deep Learning Udacity Nanodegree.

Implementation of a neural network with backpropagation algorithm

BSc Thesis at FER-2019/20 led by doc. dr. sc. Marko Čupić

A basic implementation of a neural network in java, with back-propagation. Created for learning purposes.

backpropagation algorithm

Implementation of the back-propagation algorithm using only the linear algebra and other mathematics tool available in numpy and scipy.

teaching material for my 2h graduate-level crash course on artificial neural networks

VTU Machine Learning lab programs in Python (2015 SCHEME)

it is simple 2 layer neural network using only numpy as dependency

No description provided.

Demonstration of the mini-lab (practical) component activities conducted for the course of Neural Networks and Deep Learning (19CSE456).