Deep Learning WS 20/21

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

43 to 48 of 66

03DEC 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Common Practices – Part 3 (WS 20/21)
This video discusses the problem of class imbalance and how to compensate for it. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Common Practices – Part 3 (WS 20/21)
02DEC 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Common Practices – Part 2 (WS 20/21)
This video discusses the use of validation data and how to choose architectures and hyperparameters and discuss ensembling. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Common Practices – Part 2 (WS 20/21)
01DEC 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Common Practices – Part 1 (WS 20/21)
This video discusses the use of validation data and how to choose optimizers, monitor weights, and set learning rates including their annealing. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Common Practices – Part 1 (WS 20/21)
30NOV 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Regularization – Part 5 (WS 20/21)
This video discusses multi-task learning. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Regularization – Part 5 (WS 20/21)
27NOV 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Regularization – Part 4 (WS 20/21)
This video discusses initialization techniques and transfer learning. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Regularization – Part 4 (WS 20/21)
26NOV 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Regularization – Part 3 (WS 20/21)
This video discusses normalization such as batch normalization and self normalizing units and explains the concepts of drop-out and drop-connect Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Regularization – Part 3 (WS 20/21)