On Artificial Intelligence – Telegram
On Artificial Intelligence
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If you want to know more about Science, specially Artificial Intelligence, this is the right place for you
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Forwarded from Tensorflow(@CVision) (Alireza Akhavan)
Language, trees, and geometry in neural networks

A visualization technique to understand BERT.
https://twitter.com/burkov/status/1139391818443808769

#bert #NLP
This is curated collection of free places where you can learn about deep-learning. If you've always wanted to learn about deep-learning but don't know where to start, you might have stumbled upon the right place!
https://mithi.github.io/deep-blueberry/ch0-introduction.html
Forwarded from School of AI
zisserman-self-supervised.pdf
9.1 MB
A tutorial on Self-supervised Learning by Andrew Zisserman from Google Deep Mind.

Talks in ICML2019:
https://www.facebook.com/icml.imls/videos/2030095370631729/
Empirically, XLNet outperforms BERT on 20 tasks, often by a large margin, and achieves state-of-the-art results on 18 tasks including question answering, natural language inference, sentiment analysis, and document ranking.

https://arxiv.org/abs/1906.08237#
#NLP
A great tutorial which shows you how you can implement algorithms above, in Python:
https://github.com/MorvanZhou/Evolutionary-Algorithm