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:    • MIT 6.S191 (2018): Introduction to De...  
Lecture 2 - Deep Sequence Modeling:    • MIT 6.S191 (2018): Sequence Modeling ...  
Lecture 3 - Deep Computer Vision:    • MIT 6.S191 (2018): Convolutional Neur...  
Lecture 4 - Deep Generative Models:    • MIT 6.S191 (2018): Deep Generative Mo...  
Lecture 5 - Deep Reinforcement Learning:    • MIT 6.S191 (2018): Deep Reinforcement...  
Lecture 6 - Limitations and New Frontiers:    • MIT 6.S191 (2018): Deep Learning Limi...  
Lecture 7 - Issues in Image Classification (Google Guest):    • MIT 6.S191 (2018): Issues in Image Cl...  
Lecture 8 - Faster ML Development with Tensorflow (Google Guest):    • MIT 6.S191 (2018): Faster ML Developm...  
Lecture 9 - Deep Learning, A Personal Perspective (NVIDIA Guest):    • MIT 6.S191 (2018): Deep Learning - A ...  
Lecture 10 - Beyond Deep Learning (IBM Guest):    • MIT 6.S191 (2018): Beyond Deep Learni...  
Lecture 11 - Computer Vision Meets Social Networks (Tencent Guest):    • MIT 6.S191 (2018): Computer Vision Me...  

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