L4.5 A Fully Connected (Linear) Layer in PyTorch
February 9, 2021
13,563
192
6
1.46%
Search the Record
IndexedEvery word spoken in this episode is indexed. Type any phrase to jump straight to the moment it was said.
Type any word or phrase that may have been spoken. Click a result to seek the player to that exact moment.
Try a name, a topic, or a quoted line
Sebastian Raschka Episodes Around February 9, 2021
See what was published immediately before and after this episode.
12:42Now PlayingL4.5 A Fully Connected (Linear) Layer in PyTorch
Segments
YouTube Description
as posted by the channelSebastian's books
Now that we discussed a lot of the linear algebra notational conventions, let us look at a concrete example and see how we can implement a fully connected (sometimes also called linear or dense) layer of a neural network in PyTorch.
-------
This video is part of my Introduction of Deep Learning course.
The complete playlist
A handy overview page with links to the materials
-------
If you want to be notified about future videos, please consider subscribing to my channel
Guests & Subjects Covered
Sentinel Indexing in Progress
Metadata and chapters are available. Claim extraction for this episode is pending.
All video content is delivered via YouTube embedded players in accordance with the YouTube Terms of Service. Sentinel provides research tools that promote discovery and accountability across political media.









