Deep Learning WS 20/21

Watch now: Deep Learning: Architectures – Part 1 (WS 20/21)

This video discusses the first early architectures developed in deep learning from LeNet to GooLeNet. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

December 7, 2020 Kategorie: Deep Learning WS 20/21

Watch now: Deep Learning: Common Practices – Part 4 (WS 20/21)

This video discusses how to evaluate deep learning approaches. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

December 4, 2020 Kategorie: 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

December 3, 2020 Kategorie: 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

December 2, 2020 Kategorie: 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

December 1, 2020 Kategorie: 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

November 30, 2020 Kategorie: 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

November 27, 2020 Kategorie: 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

November 26, 2020 Kategorie: Deep Learning WS 20/21

Watch now: Deep Learning: Regularization – Part 2 (WS 20/21)

This video discusses classical regularization techniques such as early stopping using a validation set, augmentation, and maximum a-posteriori methods that expand the loss function using a regularization term. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETow...

November 25, 2020 Kategorie: Deep Learning WS 20/21

Watch now: Deep Learning: Regularization – Part 1 (WS 20/21)

This video discusses the problem of over- and underfitting. In order to get a better understanding, we explore the bias-variance trade-off and look into the effects of training data size and the number of parameters. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at...

November 24, 2020 Kategorie: Deep Learning WS 20/21