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

MIT Introduction to Deep Learning 6.S191: Lecture 1 Deep Reinforcement Learning Lecturer: Lex Fridman 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