https://github.com/jecampagne/cours_mallat_cdf
Lecture notes of Professor Stéphane Mallat - Collège de France - Paris
https://github.com/jecampagne/cours_mallat_cdf
approximation bayesian-inference convolutional-neural-networks curse-of-dimensionality deep-neural-networks fisher-information fourier-transform gaussian-processes markov-chain math orthogonal-basis regularity scattering-transform shannon-entropy svm-model wavelet-transform
Last synced: about 2 months ago
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Lecture notes of Professor Stéphane Mallat - Collège de France - Paris
- Host: GitHub
- URL: https://github.com/jecampagne/cours_mallat_cdf
- Owner: jecampagne
- License: ecl-2.0
- Created: 2022-02-01T13:07:47.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2025-03-25T12:13:48.000Z (2 months ago)
- Last Synced: 2025-04-11T21:21:36.079Z (about 2 months ago)
- Topics: approximation, bayesian-inference, convolutional-neural-networks, curse-of-dimensionality, deep-neural-networks, fisher-information, fourier-transform, gaussian-processes, markov-chain, math, orthogonal-basis, regularity, scattering-transform, shannon-entropy, svm-model, wavelet-transform
- Language: Jupyter Notebook
- Homepage:
- Size: 192 MB
- Stars: 23
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LIcense.txt