MIT 6.S191 (2018): Introduction to Deep Learning

MIT Introduction to Deep Learning 6.S191: Lecture 1
Foundations of Deep Learning
Lecturer: Alexander Amini
January 2018

Lecture 1 – Introduction to Deep Learning: https://www.youtube.com/watch?v=JN6H4rQvwgY
Lecture 2 – Deep Sequence Modeling: https://www.youtube.com/watch?v=CznICCPa63Q
Lecture 3 – Deep Computer Vision: https://www.youtube.com/watch?v=NVH8EYPHi30
Lecture 4 – Deep Generative Models: https://www.youtube.com/watch?v=JVb54xhEw6Y
Lecture 5 – Deep Reinforcement Learning: https://www.youtube.com/watch?v=s5qqjyGiBdc
Lecture 6 – Limitations and New Frontiers: https://www.youtube.com/watch?v=l_yWLAQg7LU
Lecture 7 – Issues in Image Classification (Google Guest): https://www.youtube.com/watch?v=QYwESy6isuc
Lecture 8 – Faster ML Development with Tensorflow (Google Guest): https://www.youtube.com/watch?v=FkHWKq86tSw
Lecture 9 – Deep Learning, A Personal Perspective (NVIDIA Guest): https://www.youtube.com/watch?v=Z7YMDwzUTds
Lecture 10 – Beyond Deep Learning (IBM Guest): https://www.youtube.com/watch?v=mNqVGB2HkXg
Lecture 11 – Computer Vision Meets Social Networks (Tencent Guest): https://www.youtube.com/watch?v=aFEnWHxUd7s

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

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