Today I read a ppt on Maximum Likelihood Estimation and Maximizing a Posteriori. It was quite a simple and easy explanation. I found it worth sharing, hence I am sharing it with you folks,... https://t.co/S6XFMfjWfu
Hello folks,
Most of you must be knowing that the book, "Pattern Recognition" by Christopher Bishop is the most widely regarded book in ML community. Everyone refers to it and is considered as a benchmark. Our... https://t.co/BnHzQIODH6
Found this interesting paper. Felt like I must share this with you all. Enjoy reading!
link to paper - https://t.co/d0rcbONxL4
link to github repo - https://t.co/XGAJ6gUsgE https://t.co/d0rcbONxL4
All the talks are now online!
A big thank you to all the speakers for the amazing talks! Many attendees told us that they got a lot out of the talks and discussions, and many who missed the event have been pinging us for links to the slides and talks :)
https://t.co/hO4eekoXmP
A major update of the FairSeq open source code:
- Transformer and Gated ConvNet models for translation.
- pre-trained models.
- parallel training and reduced precision.
- text generation models. https://t.co/Ahovk4gm2M