Watermelon Book] Zhou Zhihua's "Machine Learning" series of notes
Dry goods|[Watermelon Book] Zhou Zhihua's "Machine Learning" study notes and exercises (2)①
Dry goods|[Watermelon Book] Zhou Zhihua's "Machine Learning" study notes and exercises (2) ②
MIT Linear Algebra Selected Edition Series Notes
Dry goods|fine notes of MIT linear algebra course [Lesson 1]
Dry Goods|Fine Notes for MIT Linear Algebra Course [Second Lesson]
Dry goods|fine notes for MIT linear algebra course [Lesson 3]
Dry goods|fine notes for MIT linear algebra course [Lesson 4]
Dry goods|fine notes for MIT linear algebra course [Lesson 5]
Deep learning dry goods notes
Dry goods|In-depth learning teaching for sister paper (3)-pioneering wasteland with VGG19
[Great God Hinton] Deep learning needs to start anew, completely abandon back propagation
Dry goods|10 minutes quick start PyTorch (7) word vector
Dry goods | Tensorflow for research study notes [2]
Machine learning dry goods notes
Dry goods|PRML reading postscript (1): fitting learning
Dry goods|Why should I subtract a maximum value when calculating the softmax function?
Natural language processing and free resource recommendation
Dry goods|10 minutes quick start PyTorch (7) word vector
Resources | Beginner’s Guide: Neural Networks in Natural Language Processing
Dry Goods|NLP Quick Start Guide
Resources|"Pattern Recognition and Machine Learning" Chinese and original free download
Heavy|Following Wu Enda, Amazon scientist Li Mu launched "Hands-on Deep Learning" Chinese course
Selected articles on dry goods in the past six months and August
Carefully organized|August selected dry goods articles
Selected dry goods|Summary of dry goods catalog in the past six months
I hope it can be helpful to everyone, learn and make progress together with you, and wish you all progress in learning with yourself!
Welcome to follow the public account to learn and exchange~
Welcome to join the exchange group to exchange learning