Deep Learning WS 20/21

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

49 to 54 of 66

25NOV 2020
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:LMETowards Data Science
Read more about Watch now: Deep Learning: Regularization – Part 2 (WS 20/21)
24NOV 2020
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:LMETowards Data Science
Read more about Watch now: Deep Learning: Regularization – Part 1 (WS 20/21)
23NOV 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Deep Learning: Activations, Convolutions, and Pooling – Part 4 (WS 20/21) (WS 20/21)
This video presents max and average pooling, introduces the concept of fully convolutional networks, and hints on how this is used to build deep networks. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Deep Learning: Activations, Convolutions, and Pooling – Part 4 (WS 20/21) (WS 20/21)
20NOV 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Activations, Convolutions, and Pooling – Part 3 (WS 20/21)
This video presents convolutional layers including the concepts of strided and dilated convolutions and how to compute their gradient. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Activations, Convolutions, and Pooling – Part 3 (WS 20/21)
19NOV 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Activations, Convolutions, and Pooling – Part 2 (WS 20/21)
This video presents a variety of modern activation functions including the quest for finding new ones. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Activations, Convolutions, and Pooling – Part 2 (WS 20/21)
18NOV 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Activations, Convolutions, and Pooling – Part 1 (WS 20/21)
This video presents the biological background of activation functions and the classical choices that were used for neural networks. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Activations, Convolutions, and Pooling – Part 1 (WS 20/21)