Lec 01. Introduction to Deep Learning

Name: Lec 01. Introduction to Deep Learning
Uploaded: 2026-02-11T14:39:47Z
Duration: 1 h 51 s
Channel: MIT OpenCourseWare
Description: Sara Beery provides an overview of deep learning, introducing deep neural networks, perceptrons, and their fundamental building blocks.

MIT OpenCourseWare

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Presented by Sara Beery, Assistant Professor at MIT

Intermediate. Assumes working knowledge.

597K views8 months ago

AI and machine learning Neural networks and deep learning

Sara Beery provides an overview of deep learning, introducing deep neural networks, perceptrons, and their fundamental building blocks.

MIT 6.7960 Deep Learning, Fall 2024 Instructor: Sara Beery View the complete course: ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/ YouTube Playlist: youtube.com/playlist?list=PLUl4u3cNGP63URZnh5iqBzDTDYPUTQT-8 This video provides a course overview and introduces deep neural networks, covering their fundamental concepts and basic building blocks. It sets the stage for understanding how these models work and what components they are built from. License: Creative Commons BY-NC-SA More information at ocw.mit.edu/terms More courses at ocw.mit.edu Support OCW at ow.ly/a1If50zVRlQ We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at ocw.mit.edu/comments.

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