Stéphane Mallat: "Scattering Invariant Deep Networks for Classification, Pt. 3"
Graduate Summer School 2012: Deep Learning, Feature Learning
"Scattering Invariant Deep Networks for Classification, Pt. 3"
Stéphane Mallat, École Polytechnique
Institute for Pure and Applied Mathematics, UCLA
July 19, 2012
For more information: https://www.ipam.ucla.edu/programs/summer-schools/graduate-summer-school-deep-learning-feature-learning/?tab=overview
Видео Stéphane Mallat: "Scattering Invariant Deep Networks for Classification, Pt. 3" канала Institute for Pure & Applied Mathematics (IPAM)
"Scattering Invariant Deep Networks for Classification, Pt. 3"
Stéphane Mallat, École Polytechnique
Institute for Pure and Applied Mathematics, UCLA
July 19, 2012
For more information: https://www.ipam.ucla.edu/programs/summer-schools/graduate-summer-school-deep-learning-feature-learning/?tab=overview
Видео Stéphane Mallat: "Scattering Invariant Deep Networks for Classification, Pt. 3" канала Institute for Pure & Applied Mathematics (IPAM)
Показать
Комментарии отсутствуют
Информация о видео
27 августа 2015 г. 1:24:13
01:06:04
Другие видео канала
![Stéphane Mallat: "Scattering Invariant Deep Networks for Classification, Pt. 1"](https://i.ytimg.com/vi/4eyUReyIPXg/default.jpg)
![Emmanuel Candès: Wavelets, sparsity and its consequences](https://i.ytimg.com/vi/ji1C81GRuGI/default.jpg)
![](https://i.ytimg.com/vi/GMJWUjnkZsE/default.jpg)
![Wavelets-based Feature Extraction](https://i.ytimg.com/vi/fxfS0vSAsTA/default.jpg)
![Metasurfaces with Nonlinear Berry Phases in Space and Time](https://i.ytimg.com/vi/Txae_71WLtg/default.jpg)
![Professor Stéphane Mallat: "High-Dimensional Learning and Deep Neural Networks"](https://i.ytimg.com/vi/nHXO43BqeQw/default.jpg)
![Graph Networks in 2020](https://i.ytimg.com/vi/bA261BF0bdk/default.jpg)
![The Julia Sets: How it Works, and Why it's Amazing!](https://i.ytimg.com/vi/mg4bp7G0D3s/default.jpg)
![Flatiron Wide Algorithms and Mathematics - Stephane Mallat (October 20, 2020)](https://i.ytimg.com/vi/mDJV939oFdU/default.jpg)
![Scattering Invariants for Audio Classification](https://i.ytimg.com/vi/W_Wbnp_uw-o/default.jpg)
![MSML2020 Invited Talk by Prof. Stéphane Mallat, Collége de France, ENS Paris, Flatiron Institute](https://i.ytimg.com/vi/je0c3OMEX4E/default.jpg)
![Understanding Wavelets, Part 1: What Are Wavelets](https://i.ytimg.com/vi/QX1-xGVFqmw/default.jpg)
![How many Julia sets does it take to make a Mandelbrot?](https://i.ytimg.com/vi/JuyPwwG-Cr8/default.jpg)
![Stéphane Mallat - High Dimensional Classification with Invariant Deep Networks](https://i.ytimg.com/vi/0nOqTOHNxvg/default.jpg)
![Kieron Burke - Conditional probability density functional theory - IPAM at UCLA](https://i.ytimg.com/vi/hZ0lCqAhL-w/default.jpg)
![David Ceperley - Quantum Monte Carlo and Machine Learning Simulations of Dense Hydrogen](https://i.ytimg.com/vi/wM2oAbOWNQs/default.jpg)
![Financial Time Series Analysis using Wavelets & Neural Networks](https://i.ytimg.com/vi/ffZsObHUoFA/default.jpg)
![Alicia Prieto Langarica - LatMath 2022 - IPAM's Latinx in the Mathematical Sciences Conference](https://i.ytimg.com/vi/sZhgNdbJK4Y/default.jpg)
![1W-MINDS: Stéphane Mallat, July 2, 2020, Descartes versus Bayes: Harmonic Analysis for High...](https://i.ytimg.com/vi/DEetRURIlAU/default.jpg)
![Hussein Hazimeh - Sparse Regression at Scale: Branch-and-Bound rooted in First-Order Optimization](https://i.ytimg.com/vi/Q-sXN_mxXoY/default.jpg)