DL Reading List

• 非监督特征学习与深度学习 中文教程
• 深度学习教程中文版
• http://www.deeplearningbook.org/
• http://deeplearning.net/tutorial/contents.html
• http://neuralnetworksanddeeplearning.com
• SEE
• https://leonardoaraujosantos.gitbook.io/artificial-inteligence/

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• 值得收藏的 27 个机器学习的小抄

Courses

• Machine Learning course by Andrew Ng

• Machine Learning course - recorded at a live broadcast from Caltech

• Unsupervised Feature Learning and Deep Learning Tutorial

• UFLDL Recommended Readings

• Unsupervised Feature Learning and Deep Learning by Andrew Ng

• CS231n: Convolutional Neural Networks for Visual Recognition

• ML for ML Systems Spring 2023

• https://adeshpande3.github.io/adeshpande3.github.io/A-Beginner's-Guide-To-Understanding-Convolutional-Neural-Networks/

Paper

• Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription
• Modeling and generating sequences of polyphonic music with the RNN-RBM

Books

• Sutton & Barto, Reinforcement Learning: An Introduction
• Christoph Molnar: Interpretable Machine Learning - A Guide for Making Black Box Models Explainable.