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Structuring Deep Learning Projects

hkhanna · published 30 June 2018

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https://pytorch.org/docs/stable/nn.html
pytorch.org
https://towardsdatascience.com/one-shot-learning-face-recognition-using-siamese-neural-network-a13dcf739e
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https://towardsdatascience.com/structured-deep-learning-b8ca4138b848
towardsdatascience.com
http://teleported.in/posts/decoding-resnet-architecture/
teleported.in
https://towardsdatascience.com/estimating-optimal-learning-rate-for-a-deep-neural-network-ce32f2556ce0
towardsdatascience.com
https://github.com/fastai/fastai
github.com
http://ruder.io/optimizing-gradient-descent/index.html
ruder.io
https://medium.com/38th-street-studios/exploring-stochastic-gradient-descent-with-restarts-sgdr-fa206c38a74e
medium.com
http://ruder.io/transfer-learning/index.html
ruder.io
https://towardsdatascience.com/transfer-learning-using-differential-learning-rates-638455797f00
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https://medium.com/@amarbudhiraja/https-medium-com-amarbudhiraja-learning-less-to-learn-better-dropout-in-deep-machine-learning-74334da4bfc5
medium.com
https://towardsdatascience.com/l1-and-l2-regularization-methods-ce25e7fc831c
towardsdatascience.com
https://towardsdatascience.com/batch-normalization-in-neural-networks-1ac91516821c
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https://towardsdatascience.com/random-initialization-for-neural-networks-a-thing-of-the-past-bfcdd806bf9e
towardsdatascience.com
Linklog | Understanding LSTM Networks Read at the source ↗
colah.github.io
https://deeplearning.ai
deeplearning.ai
https://course.fast.ai/
course.fast.ai