this post was submitted on 29 Dec 2023
11 points (100.0% liked)

Open Course Lectures

566 readers
1 users here now

This is a place to post freely available full-length lectures and courses of the sort available through MIT OCW. These are primarily intended for self-study and professional development.

Looking for something?

Search this community ๐Ÿ”

Try searching for hashtags representing the subject (e.g. #math).

Rules:


Related Communities

[email protected]

founded 1 year ago
MODERATORS
11
submitted 10 months ago* (last edited 10 months ago) by [email protected] to c/[email protected]
 

Institution: MIT
Lecturer: many
University Course Code: MIT 6.S191
Subject: #machinelearning #ml #deeplearning
Description: MIT's introductory program on deep learning methods with applications to computer vision, natural language processing, biology, and more! Students will gain foundational knowledge of deep learning algorithms and get practical experience in building neural networks in TensorFlow. Program concludes with a project proposal competition with feedback from staff and panel of industry sponsors. Prerequisites assume calculus (i.e. taking derivatives) and linear algebra (i.e. matrix multiplication), we'll try to explain everything else along the way! Experience in Python is helpful but not necessary. Listeners are welcome!

no comments (yet)
sorted by: hot top controversial new old
there doesn't seem to be anything here