Lex Fridman, a Postdoctoral Associate at the MIT AgeLab, gave an informative introductory lecture for MIT course 6.S094 on the basics of deep learning including a few
Tag: Deep Learning
Lex Fridman with Noam Chomsky on Deep Learning, Language and Cognition
Lex Fridman had a fantastic conversation with Noam Chomsky, one of the greatest minds of our time and one of the most cited scholars
A practical guide to deep learning – Tess Ferrandez-Norlander
Machine Learning is one of the fastest-growing areas of computer science, and Deep Learning (neural networks) is growing even faster, with lots of data
Google’s approach to Artificial Intelligence Machine Learning: Peter Norvig
Peter Norvig, Research Director at Google and one of the world’s leading experts on artificial intelligence, in conversation with Toby Walsh, UNSW Scientia Professor
Deep Learning, Where are we going?
Machine learning is one of the fastest-growing and most exciting fields out there, and deep learning represents its true bleeding edge. Deep learning is the machine learning
Artificial Intelligence is Eating Our World
Fabian Westerheide’s TEDx Talk dived into the challenges and opportunities of a world in which intelligent machines and humans coexist together. Artificial intelligence is
Deep Learning for Self-Driving Cars : Lecture 1
It doesn’t matter if you are a beginner or new to machine learning or advanced researcher in the field of deep learning methods and
Using Deep Learning to find genetic causes of conditions such as Autism
We can now sequence the genome, but we still don’t know much about how to interpret it. Olga Troyanskaya, Professor of Bioinformatics and Functional
What is Deep Learning, Nature of Machine Learning and Beauty of Deep Neural Networks ?
What is Deep Learning? Introduces the key ideas behind Deep Learning (machine learning + distributed representations). The Nature of Machine Learning Why learning is
Deep Learning: Recent Advances and New Challenges
Deep Learning: Recent Advances and New Challenges: Ruslan Salakhutdinov In the first part of the talk, Ruslan is introducing XLNet, a generalized autoregressive pretraining method