Dr.ssa Elisabetta Fersini
University of Milano-Bicocca, Milano, Italy
The course will cover the following topics:
- Basic Network Architectures
- Activation Functions
- Training Deep Networks:
- Objective functions
- Regularization
- Gradient-based optimization
- Focus on Deep Networks:
- Convolutional Neural Networks
- Recurrent and Recursive Networks
- Autoencoders
- Practical Methodology:
- Performance Metrics and baseline models
- Selecting hyper-parameters
Schedule
June 22, room T014, from 10:00 to 13:00
June 29, room U24-C02, from 10:00 to 13:00
July 6, room T024, from 10:00 to 13:00
July 13, room T024, from 10:00 to 13:00
July 20, room T024, from 10:00 to 13:00
July 27, room T024, from 10:00 to 13:00