20-00-1034-iv Deep Learning: Architectures & Methods

Instructors: Prof. Dr. rer. nat. Carsten Binnig; Prof. Dr. phil. Iryna Gurevych; Prof. Dr. rer. nat. Kristian Kersting; Prof. Ph. D. Stefan Roth

Event type: Integrated Course

Org-unit: Dept. 20 - Computer Science

Displayed in timetable as: DeepML

Subject:

Crediting for:

Hours per week: 4

Language of instruction: Englisch

Min. | Max. participants: - | -

Course Contents:
• Review of machine learning background
• Deep Feedforward Networks
• Regularization for Deep Learning
• Optimization for Training Deep Models
• Convolutional Networks
• Sequence Modeling: Recurrent and Recursive Nets
• Linear Factor Models
• Autoencoders
• Representation Learning
• Structured Probabilistic Models for Deep Learning
• Monte Carlo Methods
• Approximate Inference
• Deep Generative Models
• Deep Reinforcement Learning
• Deep Learning in Vision
• Deep Learning in NLP

Preconditions:
20-00-0358-iv Statistical Machine Learning
20-00-0052-iv Data Min­ing and Machine Learning