PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)
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...
Pytorch implementation of convolutional neural network visualization techniques
Saliency maps generation on a simple CNN for mnist using backpropagation and guided backpropagation
This project visualizes the knowledge of an agent trained by Deep Reinforcement Learning (paper will be published) using Backpropagation, Guided Backpropagation, GradCam and Guided gradCam. It shows w...
#计算机科学#TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propagation
Implementation of Guided GradCAM in Keras
Implementation of GradCAM & Guided GradCAM with Tensorflow 2.x
#计算机科学#Implementing multilayer neural networks through backpropagation using Java.
Unsupervised Domain Adaptation by Backpropagation
Backpropagation neural network in python/numpy
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
学习反向传播的python3代码
A simple Python script showing how the backpropagation algorithm works.
Simple object-oriented implementation of a multi-layer perceptron which uses the back propagation algorithm to learn
#计算机科学#🚀 Blazing fast neuro-evolution & backpropagation for the browser and Node.js
Code for "The Reversible Residual Network: Backpropagation Without Storing Activations"
#计算机科学#A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation
Implements back propagation in C.
Reproducing Yann LeCun 1989 paper "Backpropagation Applied to Handwritten Zip Code Recognition", to my knowledge the earliest real-world application of a neural net trained with backpropagation.
Arch Linux installer - guided, templates etc.
An optical flow forward warp's lib with backpropagation using pytorch.
Guided Evolutionary Strategies