Deep Learning 2019 /CoursesID:758
- Most recent entry on 2019-07-25
Keywords: correction imaging approximation pixels algorithm units reconstruction deep tasks batch box visualization feature identify backpropagation translation compute dependencies architectures context

Organisational Unit

Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)

Recording type

Vorlesungsreihe

Via

Free

Language

Deep Learning (DL) has attracted much interest in a wide range of applications such as image recognition, speech recognition and artificial intelligence, both from academia and industry. This lecture introduces the core elements of neural networks and deep learning, it comprises:

  • (multilayer) perceptron, backpropagation, fully connected neural networks

  • loss functions and optimization strategies

  • convolutional neural networks (CNNs)

  • activation functions

  • regularization strategies

  • common practices for training and evaluating neural networks

  • visualization of networks and results

  • common architectures, such as LeNet, Alexnet, VGG, GoogleNet

  • recurrent neural networks (RNN, TBPTT, LSTM, GRU)

  • deep reinforcement learning

  • unsupervised learning (autoencoder, RBM, DBM, VAE)

  • generative adversarial networks (GANs)

  • weakly supervised learning

  • applications of deep learning (segmentation, object detection, speech recognition, ...)

Associated Clips

Episode
Title
Lecturer
Updated
Via
Duration
Media
1
Deep Learning
Prof. Eva Katharina Breininger
2019-04-25
Free
01:36:54
2
Deep Learning
Dr.-Ing. Vincent Christlein
2019-05-02
Free
01:14:58
3
Deep Learning
Prof. Eva Katharina Breininger
2019-05-09
Free
01:21:33
4
Deep Learning
Prof. Dr. Andreas Maier
2019-05-16
Free
01:25:29
5
Deep Learning
Prof. Dr. Andreas Maier
2019-05-23
Free
01:13:55
6
Deep Learning
Prof. Dr. Andreas Maier
2019-06-06
Free
01:16:54
7
Deep Learning
Prof. Eva Katharina Breininger
2019-06-13
Free
01:00:38
8
Deep Learning
Prof. Dr. Andreas Maier
2019-06-27
Free
01:24:33
9
Deep Learning
Prof. Dr. Andreas Maier
2019-07-04
Free
01:11:46
10
Deep Learning
Dr.-Ing. Vincent Christlein
2019-07-11
Free
01:31:35
11
Deep Learning
Prof. Eva Katharina Breininger
2019-07-18
Free
01:26:03
12
Deep Learning
Prof. Dr. Andreas Maier
2019-07-25
Free
01:02:58

More courses from Prof. Dr. Andreas Maier

Schloss1
Prof. Dr. Andreas Maier
lecture
2023-02-02
Free / IdM-login
Maier, Andreas
Prof. Dr. Andreas Maier
lecture
2015-07-16
Free
Maier, Andreas
Prof. Dr. Andreas Maier
lecture
2024-07-18
Free
Schloss1
Prof. Dr. Andreas Maier
2020-02-19
Free / IdM-login / Studon
Maier, Andreas
Prof. Dr. Andreas Maier
lecture
2018-07-04
Free

More courses in this category "Technische Fakultät"

Schloss1
Prof. Dr. Tobias Günther
lecture
2022-07-26
IdM-login
Schloss1
Prof. Dr. Christoph Pflaum
lecture
2021-02-03
IdM-login
Sieh, Volkmar
Dr. Volkmar Sieh
lecture
2019-07-18
IdM-login
Willner, Kai
Prof. Dr. Kai Willner
lecture
2011-01-20
Free