MIT 6.S191 (2018): Sequence Modeling with Neural Networks @AAmini
MIT 6.S191 (2018): Sequence Modeling with Neural Networks @AAmini
Uploaded March 2018 | Updated September 2026, 2 weeks ago
MIT Introduction to Deep Learning 6.S191: Lecture 2
Sequence Modeling with Neural Networks
Lecturer: Harini Suresh
January 2018

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

For lectures, slides and lab materials: introtodeeplearning.com
MIT 6.S191 (2018): Sequence Modeling with Neural NetworksMIT 6.S191 (2024): Deep Generative ModelingMIT Introduction to Deep Learning (2024) | 6.S191MIT 6.S191 (2023): Deep Learning New FrontiersMIT 6.S191 (2018): Faster ML Development with TensorFlowMIT 6.S191 (2025): Recurrent Neural Networks, Transformers, and AttentionMIT 6.S191 (2019): Convolutional Neural NetworksMIT 6.S191 (2025): Language Models and New FrontiersMIT Introduction to Deep Learning | 6.S191MIT 6.S191 (2019): Deep Learning Limitations and New FrontiersMIT 6.S191 (2018): Introduction to Deep LearningMIT 6.S191 (2018): Deep Generative Modeling
Alexander Amini |

MIT 6.S191 (2018): Sequence Modeling with Neural Networks

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