ETD

Digital archive of theses discussed at the University of Pisa

 

Tesi etd-10032019-105944


Thesis type
Tesi di laurea magistrale
Author
PAPINI, ANDREA
URN
etd-10032019-105944
Thesis title
A Mathematical Framework for Stochastic Gradient Descent Algorithms
Department
MATEMATICA
Course of study
MATEMATICA
Supervisors
relatore Dott. Bacciu, Davide
correlatore Prof. Romito, Marco
controrelatore Dott. Trevisan, Dario
Keywords
  • stochastic gradient descent
  • stochastic differential equation
  • non-convex optimization
  • dynamical system
  • deep learning
Graduation session start date
25/10/2019;
Consultabilità
Completa
Summary
File