training food-101 (achieved SOTA top-1 validation acc ~=90%) using 1-cycle-policy:
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Updated
Aug 24, 2019 - Jupyter Notebook
training food-101 (achieved SOTA top-1 validation acc ~=90%) using 1-cycle-policy:
Pytorch implementation of arbitrary learning rate and momentum schedules, including the One Cycle Policy
Experiments comparing keras and fastai implementations of the learning rate finder.
Classify footware based on closures : https://nbviewer.jupyter.org/github/shubhajitml/footware/tree/master/
Implementation of some new techniques from fastai and other papers which works with keras models
Experiments on the paper Super-Convergence
set of algorithms that I have implemented for some random projects
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