[basic knowledge of deep learning - 41] quick start learning materials for deep learning

School is about to start , Recommend some learning materials for the younger brothers and sisters of the laboratory to learn in depth and quickly ：

Books

1. 《 Statistical learning method 》- expericnce . First choice books for getting started , Explain profound theories in simple language , Easy to understand .
2. 《 Machine learning practice 》, Also known as lizard book , Status equivalent to 《C++ primer》. It can be used as a dictionary .
3. 《 machine learning 》- zhou . Also known as watermelon book , If you have spare power to learn, you can see .
4. 《 Deep learning 》- MIT. Also known as flower book , It's more in-depth , If you want to study it, you are recommended to see , It can also be used as a reference .

Video material

1. Wu Enda studied the engineer course in depth , It's easy to understand .
2. Hinton Machine learning and neural network Chinese class , The course of the father of Neural Networks .
3. Li Feifei computer vision course ,ImageNet Originator .
4. CS224n Stanford deep natural language processing course ,NLP Direction recommendation ,

Necessary skills

Want to do a good job in deep learning ,python、Linux It's a necessary skill ,numpy、tensorflow、pytorch、paddle Libraries must also be familiar ,Git It can help improve the efficiency of code development . It is highly recommended to take time to read the contents of the rookie tutorial .

1. python3 Novice tutorial
2. Linux Novice tutorial
3. python Standard library
4. numpy API
5. tensorflow API
6. pytorch API
7. paddle API
8. Git Novice tutorial

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