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Vgg16_catsdogsRedux_sampleSize

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深深度碎片
Last edited Jan 1, 2017
Created on Jan 1, 2017

This example profiles a fast.ai deep learning workflow for the Dogs vs. Cats Redux Kaggle competition. It documents the notebook setup, including directory navigation with `%pwd` and `%cd` and imports from `utils` and `vgg16` modules using the Theano backend. The visualization shows the code structure and data organization as recorded in the notebook, using Vue.js and WebGL for rendering. The gist author, EmbraceLife, provides the file directly as a source, illustrating the data preparation steps before model training.

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