EPISODE · Jun 19, 2017 · 30 MIN
LM101-065: How to Design Gradient Descent Learning Machines (Rerun)
In this episode rerun we introduce the concept of gradient descent which is the fundamental principle underlying learning in the majority of deep learning and neural network learning algorithms. Check out the website: www.learningmachines101.com to obtain a transcript of this episode!
Embed this episode
NOW PLAYING
LM101-065: How to Design Gradient Descent Learning Machines (Rerun)
0:00
30:00
1×
No transcript for this episode yet
Similar Episodes
No similar episodes found.
Similar Podcasts
Frequently Asked Questions
How long is this episode of Learning Machines 101?
This episode is 30 minutes long.
When was this Learning Machines 101 episode published?
This episode was published on June 19, 2017.
Can I download this Learning Machines 101 episode?
Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!