Deep Learning 2018/2019 /CourseID:701

Detailed information

Keywords: applications arbitrary bernoulli control reconstruction deep visualization backpropagation inception block context image autoencoder unsupervised discriminator label pattern DeepDream Go Detection

Most recent entry on 2019-01-29 

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
Prof. Dr. Andreas Maier
2018-10-16
Free
01:27:00
2
Deep Learning
Prof. Dr. Andreas Maier
2018-10-23
Free
01:24:57
3
Deep Learning
M. Sc. Tobias Würfl
2018-10-30
Free
01:38:06
4
Deep Learning
Prof. Dr. Andreas Maier
2018-11-06
Free
01:17:15
5
Deep Learning
M. Sc. Katharina Breininger
2018-11-13
Free
01:04:36
6
Deep Learning
Prof. Dr. Andreas Maier
2018-11-20
Free
01:04:15
7
Deep Learning
Prof. Dr. Andreas Maier
2018-11-27
Free
01:07:41
8
Deep Learning
Prof. Dr. Andreas Maier
2018-12-04
Free
01:00:59
9
Deep Learning
Prof. Dr. Andreas Maier
2018-12-11
Free
01:06:17
10
Deep Learning
Prof. Dr. Andreas Maier
2018-12-18
Free
01:07:23
11
Deep Learning
M. Sc. Katharina Breininger
2019-01-08
Free
01:22:46
12
Deep Learning
Prof. Dr. Andreas Maier
2019-01-22
Free
01:10:56
13
Deep Learning
Prof. Dr. Andreas Maier
2019-01-29
Free
01:25:16

More courses from Prof. Dr. Andreas Maier

Maier, Andreas
Prof. Dr. Andreas Maier
2019-07-25
Free
Maier, Andreas
Prof. Dr. Andreas Maier
2016-06-21
Free
Maier, Andreas
Prof. Dr. Andreas Maier
2016-11-08
Studon
Schloss1
Prof. Dr. Andreas Maier
2020-02-19
Free / IdM-login / Studon

More courses in this category "Technische Fakultät"

Schloss1
Prof. Dr. Dietmar Drummer
2020-07-20
Passwort
Datensicherheit
Prof. Dr. Felix Freiling
2011-07-07
Free
Milius, Stefan
Prof. Dr. Stefan Milius
2019-02-05
Passwort
Maier, Andreas
Prof. Dr. Andreas Maier
2019-01-29
Free