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class-visualization

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srinadhu / CS231n

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

Updated Sep 5, 2018
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Implemented Vanilla RNN and LSTM networks, combined these with pretrained VGG-16 on ImageNet to build image captioning models on Microsoft COCO dataset. Explored use of image gradients for generating new images and techniques used are Saliency Maps, Fooling Images and Class Visualization. Implemented image Style Transfer technique from 'Image St…

numpy pytorch lstm gan style-transfer rnn mnist-dataset saliency-map dc-gan cs231n-assignment fooling-images class-visualization coco-dataset ls-gan microsoft-coco

Updated Aug 31, 2018
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bourcierj / rdfia-tme9-visu-nn

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pytorch imagenet adversarial-examples class-visualization cnn-visualization saliency-maps

Updated Dec 13, 2019
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kalifou / tme_10_11_rdfia

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Neural Networks Visualization : Activation Maps, Adversarial examples...

deep-neural-networks pytorch adversarial-example class-visualization

Updated Dec 20, 2017
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class-visualization · GitHub Topics · GitHub