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Predicting the performance of deep learning models

archy.deberker.com · published 14 April 2019

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https://www.youtube.com/watch?v=ORHFOnaEzPc
youtube.com
https://www.facebook.com/yann.lecun/posts/10154938130592143
facebook.com
https://arxiv.org/abs/1712.00409
arxiv.org
http://research.baidu.com/deep-learning-scaling-predictable-empirically/
research.baidu.com
https://en.wikipedia.org/wiki/Kleiber%27s_law
en.wikipedia.org
https://github.com/archydeberker/predictable-ml/blob/master/Predicting_CIFAR_PyTorch.ipynb
github.com
https://gist.github.com/archydeberker/73689d4721f7d4c77e1eec7f6dc404cc/raw/0fa96a358ddaf22a56e5f4943c657c96c78204a9/SimpleCNN.py
gist.github.com
https://gist.github.com/archydeberker/73689d4721f7d4c77e1eec7f6dc404cc
gist.github.com
https://github.com
github.com
https://gist.github.com/archydeberker/6342b6a4241c8b9b1415f33a3d8ebb91/raw/b99ac5a9262a8a36dc9bc76ac0e8b17110fba16c/CIFAR_Data_Subsampled.py
gist.github.com
https://gist.github.com/archydeberker/6342b6a4241c8b9b1415f33a3d8ebb91
gist.github.com
https://gist.github.com/archydeberker/a5052560141c7ba77dc1286d7e441a83/raw/3ece740c07880350e96073690b365beffa92623e/train_CIFAR_models.py
gist.github.com
https://gist.github.com/archydeberker/a5052560141c7ba77dc1286d7e441a83
gist.github.com
https://gist.github.com/archydeberker/380757cf933aa0a72ba85355946df225/raw/4c53ba280a07faf6fa547133fb1c0d60bfdbd0df/random_search.py
gist.github.com
https://gist.github.com/archydeberker/380757cf933aa0a72ba85355946df225
gist.github.com
https://gist.github.com/archydeberker/527cd8d5620a36a8a1ff46765be27560/raw/24acbe268c119b72f5a3cab45537cb3eed13b2b2/train_with_random_search.py
gist.github.com
https://gist.github.com/archydeberker/527cd8d5620a36a8a1ff46765be27560
gist.github.com
http://deberker.com/archy/how-intelligent-are-our-machines/
deberker.com