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MIT Introduction to Deep Learning - Lecture 1
MIT Introduction to Deep Learning 6.S191: Lecture 1
Foundations of Deep Learning
Lecturer: Alexander Amini
MIT 6.S191: Recurrent Neural Networks and Transformers - Lecture 2
MIT Introduction to Deep Learning 6.S191: Lecture 2Recurrent Neural Networks
Lecturer: Ava Soleimany
MIT 6.S191 (2022): Convolutional Neural Networks - Lecture 3
MIT Introduction to Deep Learning 6.S191: Lecture 3Convolutional Neural Networks for Computer Vision
Lecturer: Alexander Amini
MIT 6.S191: Deep Generative Modeling - Lecture 4
MIT Introduction to Deep Learning 6.S191: Lecture 4Deep Generative Modeling
Lecturer: Ava Soleimany
MIT 6.S191: Reinforcement Learning - Lecture 5
MIT Introduction to Deep Learning 6.S191: Lecture 5
Deep Reinforcement Learning
Lecturer: Alexander Amini
MIT 6.S191 (2022): Deep Learning New Frontiers - Lecture 6
MIT Introduction to Deep Learning 6.S191: Lecture 6Deep Learning Limitations and New Frontiers
Lecturer: Ava Soleimany
MIT 6.S191: LiDAR for Autonomous Driving - Lecture 7
MIT Introduction to Deep Learning 6.S191: Lecture 7Deep Learning for Autonomous Driving
Lecturer: Omer Keilaf (CEO) and Amir Day (Head of CV & DL)
Innoviz Technologies
MIT 6.S191: Automatic Speech Recognition - Lecture 8
MIT Introduction to Deep Learning 6.S191: Lecture 8
How Rev.com harnesses human-in-the-loop and deep learning to build the world's best English speech recognition engine
Lecturer: Miguel Jetté (Head of AI R&D) and Jennifer Drexler (Senior Speech Scientist)
Rev.AI
MIT 6.S191: AI for Science - Lecture 9
MIT Introduction to Deep Learning 6.S191: Lecture 9
AI for Science
Lecturer: Anima Anandkumar (Director of ML Research, NVIDIA)
NVIDIA Research
MIT 6.S191: Uncertainty in Deep Learning - Lecture 10
MIT Introduction to Deep Learning 6.S191: Lecture 10
Uncertainty in Deep Learning
Lecturer: Jasper Snoek (Research Scientist, Google Brain)
Google Brain