Introduction to a simple yet amazing NLP library called Flair. See how it works and get the code to implement it in Python yourself!

MIT Introduction to Deep Learning 6.S191: Lecture 2
Deep Sequence Modeling with Recurrent Neural Networks
Lecturer: Ava Soleimany
January 2019


For all lectures, slides and lab materials: https://introtodeeplearning.com

June 24, 2018 note: If you want to cite an example from the post, please
cite the paper which that example came from. If you want to cite the
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Uber AI developed Ludwig, a code-free deep learning toolbox, to make deep learning more accessible to non-experts and enable faster model iteration cycles.

MIT researchers have developed an MRI-based calcium sensor that allows them to peer deep into the brain. Using this technique, they can track electrical activity inside the neurons of living animals, enabling them to link neural activity with specific behaviors.

Canada is hanging on to the lead by 'our fingernails' as the gold rush to commercialize artificial intelligence goes global

Facebook AI Chief Yann LeCun introduced his now-famous “cake analogy” at NIPS 2016: “If intelligence is a cake, the bulk of the cake is…

David Patterson, Google, Mountain View, CA, University of California, Berkeley, CA

This talk reviews a half-century of computer architecture: We start with the IBM System 360, which in 1964 introduced the concept of “binary compatibility”. Next, came the…

Here is a video lecture by Google's Director of Research Peter Norvig. The full title of this lecture is Theorizing from Data: Avoiding the Capital Mistake. In 1891 Sir Arthur Conan Doyle said that "it is a capital mistake to theorize before one has data."…