Search this site
Embedded Files
Skip to main content
Skip to navigation
International School - Dynamical Systems & Applications
Home
Speakers
Mini-courses
Minicourse 20 - Isabel Serra
Minicourse 19 : Carolina Charalambous
Minicourse 9 : Howie Weiss - Perspectives on (Spatial) Mathematical Modeli
Mini-course 5 - Jaqueline Siqueira - Ergodic Theory
Minicourse 1 - Otávio Marçal Leandro Gomida
Minicourse 2 - Stability in Linear Hamiltonian systems
Minicourse 3 : Introduction to Mathematical Neuroscience
Minicourse 4 - Angel Jorba - Invariant Manifolds in Celestial Mechanics
Minicourse 6 - Timoteo Carletti - Complex Networks
Minicourse 15 : Spectral Analysis of Deep Learning Neural Networks
Program
Links of interest
International School - Dynamical Systems & Applications
Home
Speakers
Mini-courses
Minicourse 20 - Isabel Serra
Minicourse 19 : Carolina Charalambous
Minicourse 9 : Howie Weiss - Perspectives on (Spatial) Mathematical Modeli
Mini-course 5 - Jaqueline Siqueira - Ergodic Theory
Minicourse 1 - Otávio Marçal Leandro Gomida
Minicourse 2 - Stability in Linear Hamiltonian systems
Minicourse 3 : Introduction to Mathematical Neuroscience
Minicourse 4 - Angel Jorba - Invariant Manifolds in Celestial Mechanics
Minicourse 6 - Timoteo Carletti - Complex Networks
Minicourse 15 : Spectral Analysis of Deep Learning Neural Networks
Program
Links of interest
More
Home
Speakers
Mini-courses
Minicourse 20 - Isabel Serra
Minicourse 19 : Carolina Charalambous
Minicourse 9 : Howie Weiss - Perspectives on (Spatial) Mathematical Modeli
Mini-course 5 - Jaqueline Siqueira - Ergodic Theory
Minicourse 1 - Otávio Marçal Leandro Gomida
Minicourse 2 - Stability in Linear Hamiltonian systems
Minicourse 3 : Introduction to Mathematical Neuroscience
Minicourse 4 - Angel Jorba - Invariant Manifolds in Celestial Mechanics
Minicourse 6 - Timoteo Carletti - Complex Networks
Minicourse 15 : Spectral Analysis of Deep Learning Neural Networks
Program
Links of interest
Minicourse 15
Spectral Analysis of Deep Learning of Neural Networks
Lorenzo Giambagli
Biography
3blue1brown
Chapter 1 -
Deep Learning
Chapter 2 -
Gradient descent, how neural networks learn
Chapter 3-
What is backpropagation really doing?
Chapter 4-
Backpropagation calculus
Lecture notes of Lorenzo Giambagli
Lecture 1
IntroDeepL-1Lect.pdf
Lecture 2
IntroDeepL-2.pdf
Lecture 3
IntroDeepL-3.pdf
Report abuse
Page details
Page updated
Report abuse