Syllabus del corso

Esporta

Deep Learning

Elisabetta Fersini

Inglese

  • Background concepts
  • Training Deep Networks:
    * Objective functions
    * Activation Functions
    * Regularization
    * Gradient-based optimization
  • Focus on Deep Networks:
    * Autoencoders
    * Variational Autoencoders
  • Practical Methodology:
    * Performance Metrics and baseline models
    * Selecting hyper-parameters
  • Deep Learning in Practice: Tools, Tips and Tricks

2 CFU, 16 ore

Luglio 2024

Esporta

Deep Learning

Elisabetta Fersini

English

  • Background concepts
  • Training Deep Networks:
    * Objective functions
    * Activation Functions
    * Regularization
    * Gradient-based optimization
  • Focus on Deep Networks:
    * Autoencoders
    * Variational Autoencoders
  • Practical Methodology:
    * Performance Metrics and baseline models
    * Selecting hyper-parameters
  • Deep Learning in Practice: Tools, Tips and Tricks

2 CFU, 16 hours

July 2024

Entra

Scheda del corso

Settore disciplinare
INF/01
CFU
2
Periodo
Annualità Singola
Tipo di attività
Opzionale
Ore
16

Staff

    Docente

  • EF
    Elisabetta Fersini

Metodi di iscrizione

Iscrizione manuale
Iscrizione spontanea (Studente)