backpropagation

simple neural network library in ANSI C

Deep learning in Rust, with shape checked tensors and neural networks

数学知识点滴积累 矩阵 数值优化 神经网络反向传播 图优化 概率论 随机过程 卡尔曼滤波 粒子滤波 数学函数拟合

Artificial Neural Network

Notes for Deep Learning Specialization Courses led by Andrew Ng.

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

Six snippets of code that made deep learning what it is today.

Implementing multilayer neural networks through backpropagation using Java.

A collection of all projects pertaining to different layers in the SDC software stack

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

Heterogeneous automatic differentiation ("backpropagation") in Haskell

Build neural networks based only on Numpy

A simple machine learning framework written in Swift 🤖

Data science teaching materials

Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.

Deep Learning From Scratch

Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera

A neural network library written from scratch in Rust along with a web-based application for building + training neural networks + visualizing their outputs

Mathematics paper recapitulating the calculus behind a neural network and its back propagation

A tiny neural network 🧠