MIT Introduction to Deep Learning 6.S191
Faster ML Development with TensorFlow
Lecturer: Shanqing Cai; Google
January 2018
Lecture 1 - Introduction to Deep Learning: • MIT 6.S191 (2018): Introduction to Deep Le...
Lecture 2 - Deep Sequence Modeling: • MIT 6.S191 (2018): Sequence Modeling with ...
Lecture 3 - Deep Computer Vision: • MIT 6.S191 (2018): Convolutional Neural Ne...
Lecture 4 - Deep Generative Models: • MIT 6.S191 (2018): Deep Generative Modeling
Lecture 5 - Deep Reinforcement Learning: • MIT 6.S191 (2018): Deep Reinforcement Lear...
Lecture 6 - Limitations and New Frontiers: • MIT 6.S191 (2018): Deep Learning Limitatio...
Lecture 7 - Issues in Image Classification (Google Guest): • MIT 6.S191 (2018): Issues in Image Classif...
Lecture 8 - Faster ML Development with Tensorflow (Google Guest): • MIT 6.S191 (2018): Faster ML Development w...
Lecture 9 - Deep Learning, A Personal Perspective (NVIDIA Guest): • MIT 6.S191 (2018): Deep Learning - A Perso...
Lecture 10 - Beyond Deep Learning (IBM Guest): • MIT 6.S191 (2018): Beyond Deep Learning: L...
Lecture 11 - Computer Vision Meets Social Networks (Tencent Guest): • MIT 6.S191 (2018): Computer Vision Meets S...
For lectures, slides and lab materials: http://introtodeeplearning.com
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