Deep Learning 2018 /CourseID:662

Detailed information

Keywords: reconstruction energy deep spatial rule feed initialization tasks dimension transfer dataset capacity batch visualization examples confidence guided investigating deconvnet feature

Most recent entry on 2018-07-04 

Organisational Unit

Lehrstuhl für Informatik 5 (Mustererkennung)

Recording type

Vorlesungsreihe

Via

Free

Language

English

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
M. Sc. Tobias Würfl
2018-04-11
Free
01:33:15
2
Deep Learning
Prof. Dr. Andreas Maier
2018-04-18
Free
01:28:39
3
Deep Learning
Prof. Dr. Andreas Maier
2018-04-25
Free
01:07:21
4
Deep Learning
Prof. Dr. Andreas Maier
2018-05-02
Free
01:19:17
5
Deep Learning
M. Sc. Katharina Breininger
2018-05-09
Free
01:04:36
6
Deep Learning
Prof. Dr. Andreas Maier
2018-05-16
Free
00:56:56
7
Deep Learning
Prof. Dr. Andreas Maier
2018-05-23
Free
01:07:27
8
Deep Learning
Prof. Dr. Andreas Maier
2018-05-30
Free
00:55:50
9
Deep Learning
Prof. Dr. Andreas Maier
2018-06-06
Free
01:12:51
10
Deep Learning
Prof. Dr. Andreas Maier
2018-06-13
Free
01:11:28
11
Deep Learning
Prof. Dr. Andreas Maier
2018-06-20
Free
01:14:26
12
Deep Learning
Prof. Dr. Andreas Maier
2018-06-27
Free
01:18:55
13
Deep Learning
Prof. Dr. Andreas Maier
2018-07-04
Free
01:25:13

More courses from Prof. Dr. Andreas Maier

Maier, Andreas
Prof. Dr. Andreas Maier
2020-06-28
Free
Maier, Andreas
Prof. Dr. Andreas Maier
2016-11-08
Studon
Maier, Andreas
Prof. Dr. Andreas Maier
2017-07-07
Studon
Schloss1
Prof. Dr. Andreas Maier
2020-02-20
Free
Schloss1
Prof. Dr. Andreas Maier
2020-10-13
IdM-login

More courses in this category "Technische Fakultät"

Kleinöder
Dr. Jürgen Kleinöder
2012-07-17
Free
Freiling, Felix
Prof. Dr. Felix Freiling
2014-07-09
Studon
Stamminger, Marc
Prof. Dr. Marc Stamminger
2019-12-19
Free
Teich, Jürgen
Prof. Dr. Jürgen Teich
2020-09-01
Studon
Sieh, Volkmar
Dr. Volkmar Sieh
2016-02-05
Free