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TensorBoard t-SNE The image feature vectors were received with a pretrained ResNet50 on PyTorch. Each image has 300 dimensions vectors those are representing "features". And the image distances are representing "similarity". Tensorboard t-sne to visualize local and global fraud on accounting statements

This video is part of the Udacity course "Deep Learning". Watch the full course at https://www.udacity.com/course/ud730.

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