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Papers

DeepTracker: Visualizing the Training Process of Convolutional Neural Networks http://dongyu.name/recourse/papers/tist_2018_dongyu_deeptracker.pdf

Visualizing the PHATE of Neural Networks https://arxiv.org/abs/1908.02831

Visualizing the Loss Landscape of Neural Nets https://arxiv.org/abs/1712.09913

Visualizing structure and transitions for biological data exploration https://www.nature.com/articles/s41587-019-0336-3

Codes

https://github.com/KrishnaswamyLab/PHATE https://nbviewer.jupyter.org/github/KrishnaswamyLab/PHATE/blob/master/Python/tutorial/EmbryoidBody.ipynb

YouTube

https://www.youtube.com/channel/UClw-8PLrtpLHgB0w1V3y__w https://www.youtube.com/watch?v=W509HyZioQU

Researcher

Dongyu Liu 刘冬煜 http://dongyu.tech/

Research Group

HKUST VisLab http://vis.cse.ust.hk/groups/xai-vis/

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Assorted literatures, libs or any code snippet that is related to visualize the training process/dynamics of neural network

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