Deep Learning WS 20/21

Browse all posts in the Deep Learning WS 20/21 category.

55 to 60 of 66

17NOV 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Loss and Optimization – Part 3 (WS 20/21)
This video discusses details on optimization and different options in gradient descent procedure such as momentum and ADAM. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Loss and Optimization – Part 3 (WS 20/21)
16NOV 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Loss and Optimization – Part 2 (WS 20/21)
This video explains hinge loss and its relation to support vector machines. We also show why sub-gradients allow us to optimize factions that are not continuously differentiable. Furthermore, the hinge loss enables to embed optimization constraints into loss functions. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Loss and Optimization – Part 2 (WS 20/21)
13NOV 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Loss and Optimization – Part 1 (WS 20/21)
This video explains how to derive L2 Loss and Cross-Entropy Loss from statistical assumptions. Highly relevant for the exam! Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Loss and Optimization – Part 1 (WS 20/21)
12NOV 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Feedforward Networks – Part 4 (WS 20/21)
This video explains backpropagation at the level of layer abstraction. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Feedforward Networks – Part 4 (WS 20/21)
11NOV 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Feedforward Networks – Part 3 (WS 20/21)
This video introduces the basics of the backpropagation algorithm. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Feedforward Networks – Part 3 (WS 20/21)
10NOV 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Feedforward Networks — Part 2 (WS 20/21)
This video introduces the topics of activation functions, loss, and the idea of gradient descent. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Feedforward Networks — Part 2 (WS 20/21)