✳flâneur — a map of the web's best reading

shantanu-ai/deep-learning-resources: Resources needed to start deep learning research. ML/DL/CV/NLP/ML-SYS/RL/Graphs/Maths/Med image lecture videos from professors at esteemed universities.

github.com · 787 words · saved by 1 readers

Resources needed to start deep learning research. ML/DL/CV/NLP/ML-SYS/RL/Graphs/Maths/Med image lecture videos from professors at esteemed universities. Before starting, I would recommend watching these two awesome videos by Andrew Ng on general career advice. [short | long] One should start from probability, linear algebra, optimization, then to go deep into deep learning related topics. Here are the links: Have anything in mind that you think is awesome and would fit in this list? Feel free to send a pull request. Resources needed to start deep learning research. ML/DL/CV/NLP/ML-SYS/RL/Graphs/Maths/Med image lecture videos from professors at esteemed universities.

Explore this link on the map →

saved by

related reading