Visualizations for understanding the regressed wheel steering angle for self driving cars
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Updated
Oct 24, 2016 - Python
Visualizations for understanding the regressed wheel steering angle for self driving cars
Grad-CAM in TensorFlow, presented in Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization.
[ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance
TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propagation
Visualizing the Multi-scale dense network with Grad-CAM
An implementation of Grad-CAM with keras
A generalized gradient-based CNN visualization technique
introducing tools for deep learning in medicine
Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification
A customizable lightweight Grad-CAM implementation
Grad-CAM (Gradient-weighted Class Activation Mapping)
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;欢迎试用、关注并反馈问题...
Social network analysis and convolution neural network are applied to classify android application. Mining malicious application behavior by grad-cam. 提取APK文件调用图,利用社交网络算法将调用图转换为图像,用卷积神经网络进行分类训练,并利用grad-cam算法挖掘恶意软件行为。
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