The document discusses deep learning paper reading roadmaps and lists several github repositories that aggregate deep learning papers. It also discusses developing mobile applications that utilize machine learning and the differences between developing for iOS versus Android. Lastly, it mentions continuing to learn through practice and experimentation with deep learning techniques.

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https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap
https://github.com/terryum/awesome-deep-learning-papers
https://github.com/kweonwooj/papers/issues
https://ratsgo.github.io/natural%20language%20processing/2017/08/16/deepNLP/
https://github.com/hoya012/deep_learning_object_detection

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