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Code to reproduce Spatial Transformer Networks results on fine grained classification

Python 50.41% Jupyter Notebook 49.59%

birds-stn's Introduction

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TODO LIST

Format: Description [Owner; Deadline]

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Directory Structure

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./doc/ Documents, e.g., paper sections ./src/ Code ./src/checkpoints/ saved model parameters ./src/codebase/ classes and utilities ./src/log/ logs for visualizing learning ./src/out/ exploratory output after training finishes ./dat/ Data (if not too large) ./ref/ Reference materials, e.g., PDFs of papers ./etc/ Other stuff, e.g., pictures of writeboards, notes

Acknowledgement: The above format was taken from David Blei and Dustin Tran www.cs.columbia.edu/~blei/seminar/2016_discrete_data/notes/week_01.pdf www.dustintran.com/blog/a-research-to-engineering-workflow

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