15- Deep Learning/ClipID:21070 previous clip next clip

Recording date 2020-10-11

Course

Deep Learning

Language

English

Organisational Unit

Friedrich-Alexander-Universität Erlangen-Nürnberg

Producer

Friedrich-Alexander-Universität Erlangen-Nürnberg

Deep Learning - Activations, Convolutions, and Pooling Part 3

This video presents convolutional layers including the concepts of strided and dilated convolutions and how to compute their gradient.

For reminders to watch the new video follow on Twitter or LinkedIn.

Video References:
Lex Fridman's Channel
Ministry of Silly Walks

Memes
Convolution Meme

Further Reading:
A gentle Introduction to Deep Learning

Up next

Maier, Andreas
Prof. Dr. Andreas Maier
2020-10-12
IdM-login
Maier, Andreas
Prof. Dr. Andreas Maier
2020-10-12
IdM-login
Maier, Andreas
Prof. Dr. Andreas Maier
2020-10-12
IdM-login
Maier, Andreas
Prof. Dr. Andreas Maier
2020-10-12
IdM-login
Maier, Andreas
Prof. Dr. Andreas Maier
2020-10-12
IdM-login

More clips in this category "Friedrich-Alexander-Universität Erlangen-Nürnberg"

2020-11-13
Studon
protected  
2020-10-26
IdM-login / Studon
protected  
2015-09-02
Free
public  
2020-04-17
Studon
protected  
2020-07-06
Studon
protected