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deep-learning

This folder contain latex note and exercise on book Deep Learning by Ian Goodfellow, Yoshua Bengio, Aaron Courville. And Dive into deep learning by Aston Zhang, Mu Li, Zachary C. Lipton, Alexander J. Smola

Usage

Due to the limite of computation ability, most python programs are implemented in the other directory: (namely machine-learning) in torch framwork. All python file containing the word example are DIRECT COPY of code from the book for learning propose.

The deep-learning笔记.pdf and mxnet-note.pdffile, in contrast, contain more complete description of neural networks and tensor calculations. Notes taken in machine-learning directory are only supplementary note based on these notes.

file structure

/deep_learning
| 
|__deep-learning_note      (contains pdf note on the two referenced books, and its latex source code)
| 
|__mxnet_note              (contains pdf note on MXNET framework, and latex source code)
|
|__(all other directories) (contain python code, some direct copy of code from the books, to experiment with performance)

Reference

Only created and used for personal practise and reference, not for any commercial propose.

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Deep learning notes and copy of example programs

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