# krishnonwork/mathematical-methods-in-deep-learning-ipython

<https://repo.masters-masters.com/repos/krishnonwork/mathematical-methods-in-deep-learning-ipython>

[Accueil](https://repo.masters-masters.com/) › [krishnonwork](https://repo.masters-masters.com/owners/krishnonwork) › [mathematical-methods-in-deep-learning-ipython](https://repo.masters-masters.com/repos/krishnonwork/mathematical-methods-in-deep-learning-ipython)

krishnonwork/mathematical-methods-in-deep-learning-ipython, dépôt open source à 273 étoiles sur GitHub. Carte Alpha de RepoMasters. Langage : Jupyter Notebook.

| Champ | Valeur |
| --- | --- |
| Propriétaire | [krishnonwork](https://repo.masters-masters.com/owners/krishnonwork) |
| Étoiles | 273 |
| Forks | 100 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | MIT |
| Création | 2019 |
| Rang | [Alpha (250 à 699 ★)](https://repo.masters-masters.com/ranks/b_movie) |
| Voir sur GitHub | [krishnonwork/mathematical-methods-in-deep-learning-ipython](https://github.com/krishnonwork/mathematical-methods-in-deep-learning-ipython) |

## Fiche du dépôt

Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhury with Ananya Ashok, Sujay Narumanchi, Devashish Shankar).

Rang des dépôts qui ont 250 à 699 ★ sur GitHub. Probabilité publiée par carte tirée : 20 %. Rareté : Peu commune.

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Données : GitHub · Illustration dessinée par RepoMasters à partir de l’identifiant du dépôt et de la couleur de son langage.