Resources on learning deeplearning from the Massachusetts Institute of Technology

2 de March de 2020

⚠ To see the ‘Table of associated records‘ go the bottom, Pag. 2. ( 👩‍🎓 🖥 For free online version, on the image).

https://editorialia.com/wp-content/uploads/2020/05/resources-on-learning-deeplearning-from-the-massachusetts-institute-of-technology-2.jpg

A review of the tutorial for research, educational and recommendations.

Unclassified recommendation

🔘 Tutorial page: bit.ly/2IHVnr2

MIT Deep Learning Basics: Introduction and Overview. Source: youtu.be/O5xeyoRL95U . (Lex Fridman. Research in human-centered AI, deep learning, autonomous vehicles & robotics at MIT).

Summary

This repository is a collection of tutorials for MIT Deep Learning courses.

Author

MIT Deep Learning. Main webpage: deeplearning.mit.edu

Here [github.com/lexfridman/mit-deep-learning] is a great selection of resources on learning deeplearning by Lex Fridman from the Massachusetts Institute of Technology. This has become a ‘go to’ reference for me these past few years. Source. [www.linkedin.com/posts/isaacfaber_deeplearning-activity-6635337676604211200-jyS0]

Isaac Faber Ph.D.
Isaac Faber Ph.D. (CHIEF DATA SCIENTIST AT U.S. ARMY AI TASK FORCE)

Please, thank the author

Thank you very much for this work to @lexfridman and for recommending it to @isaacfab00, via @States_AI_IA #deeplearning #ai #artificialintelligence #thebibleai #free #openscience #openaccess #thanks

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