Deep Learning

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