Deep-Learning-Papers-Reading-Roadmap

by floodsung · Machine Learning

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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Machine LearningDeveloper ToolPythondeep-learning
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About this project

Deep Learning Papers Reading Roadmap If you are a newcomer to the Deep Learning area, the first question you may have is "Which paper should I start reading from?" Here is a reading roadmap of Deep Learning papers! The roadmap is constructed in accordance with the following four guidelines: — From outline to detail — From old to state-of-the-art — from generic to specific areas — focus on state-of-the-art You will find many papers that are quite new but really worth reading. I would continue adding papers to this roadmap. 1 Deep Learning History and Basics 1.0 Book [0] Bengio, Yoshua, Ian J. Goodfellow, and Aaron Courville. "Deep learning." An MIT Press book. (2015).…

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Pythondeep-learning

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Inactive for over a year
Last update3 years ago
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On GitHubsince 2016

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