What is notes
Last updated
Last updated
The notes for Math, Machine Learning, Deep Learning and Research papers.
Illustration by David Somerville based on the original by Hugh McLeod
Let's make wisdom from knowledge.
Define concepts to be intuitively understandable.
Simply summary (You can check the details on Wiki)
With story
or example
Draw an illustration
If possible, append a code
Documentation by Gitbook
Documentation by Notion
Sync papers (* recommend path like Google Drive's sync folder)
Make SUMMARY.md
Course & Video
Stanford University - Machine Learning by Andrew Ng.
Stanford University - Probabilistic Graphical Models by Daphne Koller
Book
Deep Learning by Ian Goodfellow Yoshua Bengio and Aaron Courville, 2016
Course & Video
Stanford University - CS231n: Convolutional Neural Networks for Visual Recognition by Fei-Fei Li, Andrej Karpathy, Justin Johnson
Udacity - Deep Learning by Vincent Vanhoucke, Arpan Chakraborty
Toronto University - Neural Networks for Machine Learning by Geoffrey Hinton
CS224d: Deep Learning for Natural Language Processing by Richard Socher
Deep Learning School (bayareadlschool) September 24-25, 2016 Stanford, CA
Oxford Deep NLP 2017 by Phil Blunsom and delivered in partnership with the DeepMind Natural Language Research Group.