Popular GitHub Repositories for Excitation Backpropagation

Pytorch implementation of convolutional neural network visualization techniques

simple neural network library in ANSI C

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

:rocket: Blazing fast neuro-evolution & backpropagation for the browser and Node.js

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)

pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

Artificial Neural Network

Notes for Deep Learning Specialization Courses led by Andrew Ng.

Implementation of One-Shot Object Detection with Co-Attention and Co-Excitation in Pytorch

Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.

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

Multi-language Analyze text in 26 Cantonal Swiss German, Italian, German, Chinese (simplified), French, Italian. pply natural language understanding (NLU) to their applications with features including sentiment analysis, entity analysis, entity sentiment analysis, content classification, and syntax analysis.

Implementing multilayer neural networks through backpropagation using Java.

? PyTorch based visualization package for generating layer-wise explanations for CNNs.

Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation)

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

TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propagation

一文彻底搞懂BP算法：原理推导+数据演示+项目实战