An introductory lecture overviewing the basics of deep learning including a few key ideas, subfields, and the big picture of why neural networks have inspired and energized an entire new generation of researchers. For more lecture videos visit our website or follow code tutorials on our GitHub repo.
GitHub: https://github.com/lexfridman/mit-dee...
Slides: http://bit.ly/deep-learning-basics-sl...
Playlist: http://bit.ly/deep-learning-playlist
Introduction Deep learning in one slide History of ideas and tools Simple example in TensorFlow TensorFlow in one slide Deep learning is representation learning Why deep learning (and why not) Challenges for supervised learning Key low-level concepts Higher-level methodsToward artificial general intelligence
Twitter: https://twitter.com/lexfridman
LinkedIn: https://www.linkedin.com/in/lexfridman
Facebook: https://www.facebook.com/lexfridman
Instagram: https://www.instagram.com/lexfridman
Lex Fridman
0 facebook:
Post a Comment