Loading...

Deep Learning State of the Art (2019) - MIT

76,326 views

Loading...

Loading...

Transcript

The interactive transcript could not be loaded.

Loading...

Rating is available when the video has been rented.
This feature is not available right now. Please try again later.
Published on Jan 17, 2019

New lecture on recent developments in deep learning that are defining the state of the art in our field (algorithms, applications, and tools). This is not a complete list, but hopefully includes a good sampling of new exciting ideas. For more lecture videos visit our website or follow code tutorials on our GitHub repo.

INFO:
Website: https://deeplearning.mit.edu
GitHub: https://github.com/lexfridman/mit-dee...
Slides: http://bit.ly/2HiZyvP
Playlist: http://bit.ly/deep-learning-playlist

OUTLINE:
0:00 - Introduction
2:00 - BERT and Natural Language Processing
14:00 - Tesla Autopilot Hardware v2+: Neural Networks at Scale
16:25 - AdaNet: AutoML with Ensembles
18:32 - AutoAugment: Deep RL Data Augmentation
22:53 - Training Deep Networks with Synthetic Data
24:37 - Segmentation Annotation with Polygon-RNN++
26:39 - DAWNBench: Training Fast and Cheap
29:06 - BigGAN: State of the Art in Image Synthesis
30:14 - Video-to-Video Synthesis
32:12 - Semantic Segmentation
36:03 - AlphaZero & OpenAI Five
43:34 - Deep Learning Frameworks
44:40 - 2019 and beyond

CONNECT:
- If you enjoyed this video, please subscribe to this channel.
- Twitter: https://twitter.com/lexfridman
- LinkedIn: https://www.linkedin.com/in/lexfridman
- Facebook: https://www.facebook.com/lexfridman
- Instagram: https://www.instagram.com/lexfridman

Loading...

Advertisement
When autoplay is enabled, a suggested video will automatically play next.

Up next


to add this to Watch Later

Add to

Loading playlists...