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Alexander Amini
MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention

MIT Introduction to Deep Learning 6.S191: Lecture 2 Recurrent Neural Networks Lecturer: Ava Amini ** New 2025 Edition ** For ...

1:01:34
MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention

232,276 views

9 months ago

MIT OpenCourseWare
12a: Neural Nets

NOTE: These videos were recorded in Fall 2015 to update the Neural Nets portion of the class. MIT 6.034 Artificial Intelligence, ...

50:43
12a: Neural Nets

554,391 views

9 years ago

Alexander Amini
MIT 6.S191: Convolutional Neural Networks

MIT Introduction to Deep Learning 6.S191: Lecture 3 Convolutional Neural Networks for Computer Vision Lecturer: Alexander ...

1:01:04
MIT 6.S191: Convolutional Neural Networks

157,218 views

8 months ago

Alexander Amini

337K subscribers

Alexander Amini
MIT Introduction to Deep Learning | 6.S191

MIT Introduction to Deep Learning 6.S191: Lecture 1 *New 2025 Edition* Foundations of Deep Learning Lecturer: Alexander ...

1:09:26
MIT Introduction to Deep Learning | 6.S191

826,066 views

9 months ago

MIT OpenCourseWare
26. Structure of Neural Nets for Deep Learning

MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018 Instructor: Gilbert Strang ...

53:17
26. Structure of Neural Nets for Deep Learning

57,295 views

6 years ago

Alexander Amini
MIT 6.S191 (2024): Recurrent Neural Networks, Transformers, and Attention

MIT Introduction to Deep Learning 6.S191: Lecture 2 Recurrent Neural Networks Lecturer: Ava Amini 2024 Edition For all lectures, ...

1:01:31
MIT 6.S191 (2024): Recurrent Neural Networks, Transformers, and Attention

301,306 views

1 year ago

People also watched

Stanford Online
Stanford CS230 | Autumn 2025 | Lecture 1: Introduction to Deep Learning

For more information about Stanford's Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai ...

1:00:17
Stanford CS230 | Autumn 2025 | Lecture 1: Introduction to Deep Learning

362,115 views

2 months ago

Lex Fridman
Deep Learning Basics: Introduction and Overview

An introductory lecture for MIT course 6.S094 on the basics of deep learning including a few key ideas, subfields, and the big ...

1:08:06
Deep Learning Basics: Introduction and Overview

2,506,993 views

6 years ago

Stanford Online
Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)

For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai This lecture provides a concise ...

1:44:31
Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)

1,725,263 views

1 year ago

Two Minute Papers
AlphaFold - The Most Important AI Breakthrough Ever Made

To celebrate the 5th anniversary of #AlphaFold, I was invited by Google DeepMind to interview Nobel Prize Winner and ...

22:49
AlphaFold - The Most Important AI Breakthrough Ever Made

189,748 views

8 days ago

MIT OpenCourseWare
22. Gradient Descent: Downhill to a Minimum

MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning, Spring 2018 Instructor: Gilbert Strang ...

52:44
22. Gradient Descent: Downhill to a Minimum

95,416 views

6 years ago

freeCodeCamp.org and CS50
Harvard CS50’s Artificial Intelligence with Python – Full University Course

... Knowledge ⌨️ (03:39:39) Uncertainty ⌨️ (05:34:08) Optimization ⌨️ (07:18:52) Learning ⌨️ (09:04:41) Neural Networks ...

11:51:22
Harvard CS50’s Artificial Intelligence with Python – Full University Course

4,281,515 views

2 years ago

Prof. Giordano Scarciotti
The Missing Device That Changes AI Forever | The Incredible Story of the Memristor

For 37 years, mathematics predicted a "missing" fourth circuit element. Everyone knew about the resistor, the capacitor, and the ...

46:57
The Missing Device That Changes AI Forever | The Incredible Story of the Memristor

63,406 views

5 days ago

Brandon Rohrer
How Deep Neural Networks Work

Part of the End-to-End Machine Learning School Course 193, How Neural Networks Work at https://e2eml.school/193 Visit the ...

24:38
How Deep Neural Networks Work

1,548,445 views

8 years ago

Stanford Online
Stanford CS231N Deep Learning for Computer Vision | Spring 2025 | Lecture 1: Introduction

For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai This lecture covers: 1.

1:02:53
Stanford CS231N Deep Learning for Computer Vision | Spring 2025 | Lecture 1: Introduction

298,338 views

3 months ago

Lex Fridman
MIT 6.S094: Convolutional Neural Networks for End-to-End Learning of the Driving Task

This is lecture 3 of course 6.S094: Deep Learning for Self-Driving Cars taught in Winter 2017. This lecture introduces computer ...

1:19:53
MIT 6.S094: Convolutional Neural Networks for End-to-End Learning of the Driving Task

243,716 views

8 years ago

Alexander Amini
MIT 6.S191 (2024): Convolutional Neural Networks

MIT Introduction to Deep Learning 6.S191: Lecture 3 Convolutional Neural Networks for Computer Vision Lecturer: Alexander ...

1:07:58
MIT 6.S191 (2024): Convolutional Neural Networks

156,678 views

1 year ago

Stanford Online
Lecture 11 - Introduction to Neural Networks | Stanford CS229: Machine Learning (Autumn 2018)

For more information about Stanford's Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai Kian ...

1:20:14
Lecture 11 - Introduction to Neural Networks | Stanford CS229: Machine Learning (Autumn 2018)

255,007 views

5 years ago

MIT OpenCourseWare
18: Recurrent Networks - Intro to Neural Computation

MIT 9.40 Introduction to Neural Computation, Spring 2018 Instructor: Michale Fee View the complete course: ...

1:19:13
18: Recurrent Networks - Intro to Neural Computation

8,398 views

5 years ago

Alexander Amini
MIT 6.S191: Reinforcement Learning

MIT Introduction to Deep Learning 6.S191: Lecture 5 Deep Reinforcement Learning Lecturer: Alexander Amini ** New 2025 ...

1:02:00
MIT 6.S191: Reinforcement Learning

90,062 views

8 months ago

Alexander Amini
MIT 6.S191: Language Models and New Frontiers

MIT Introduction to Deep Learning 6.S191: Lecture 6 Language Models and New Frontiers Lecturer: Ava Amini ** New 2025 ...

47:36
MIT 6.S191: Language Models and New Frontiers

51,012 views

8 months ago

MIT OpenCourseWare
20: Hopfield Networks - Intro to Neural Computation

MIT 9.40 Introduction to Neural Computation, Spring 2018 Instructor: Michale Fee View the complete course: ...

1:13:07
20: Hopfield Networks - Intro to Neural Computation

35,452 views

5 years ago

MIT OpenCourseWare
Nick Cheney: Capturing Neural Plasticity in Deep Networks

MIT RES.9-003 Brains, Minds and Machines Summer Course, Summer 2015 View the complete course: ...

3:28
Nick Cheney: Capturing Neural Plasticity in Deep Networks

1,789 views

7 years ago

Alexander Amini
MIT 6.S191: Deep Generative Modeling

MIT Introduction to Deep Learning 6.S191: Lecture 4 Deep Generative Modeling Lecturer: Ava Amini ** New 2025 Edition ** For ...

48:57
MIT 6.S191: Deep Generative Modeling

95,600 views

8 months ago

MIT OpenCourseWare
12b: Deep Neural Nets

NOTE: These videos were recorded in Fall 2015 to update the Neural Nets portion of the class. MIT 6.034 Artificial Intelligence, ...

49:06
12b: Deep Neural Nets

191,523 views

9 years ago

Alexander Amini
MIT 6.S191 (Liquid AI): Large Language Models

MIT Introduction to Deep Learning 6.S191: Lecture 8 Large Language Models Lecturer: Maxime Labonne (Liquid AI) Maxime ...

1:08:18
MIT 6.S191 (Liquid AI): Large Language Models

50,550 views

7 months ago