# DeepTrackAI/DeepLearningCrashCourse

<https://repo.masters-masters.com/repos/DeepTrackAI/DeepLearningCrashCourse>

[Accueil](https://repo.masters-masters.com/) › [DeepTrackAI](https://repo.masters-masters.com/owners/DeepTrackAI) › [DeepLearningCrashCourse](https://repo.masters-masters.com/repos/DeepTrackAI/DeepLearningCrashCourse)

DeepTrackAI/DeepLearningCrashCourse, dépôt open source à 203 étoiles sur GitHub. Carte Prototype de RepoMasters. "Deep Learning Crash Course" is a…

| Champ | Valeur |
| --- | --- |
| Propriétaire | [DeepTrackAI](https://repo.masters-masters.com/owners/DeepTrackAI) |
| Étoiles | 203 |
| Forks | 78 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | Aucune |
| Création | 2023 |
| Sujets | artificial-intelligence, course-project, deep-learning, neural-networks, python, pytorch |
| Rang | [Prototype (100 à 249 ★)](https://repo.masters-masters.com/ranks/rush) |
| Voir sur GitHub | [DeepTrackAI/DeepLearningCrashCourse](https://github.com/DeepTrackAI/DeepLearningCrashCourse) |

## Fiche du dépôt

"Deep Learning Crash Course" is a comprehensive and up-to-date guide that takes you from simple neural networks all the way to cutting-edge deep learning architectures-no advanced math and programming required, just a basic knowledge of programming.

Rang des dépôts qui ont 100 à 249 ★ sur GitHub. Probabilité publiée par carte tirée : 70 %. Rareté : Commune.

## Autres dépôts de DeepTrackAI

- [DeepTrackAI/DeepTrack2 · ★ 249 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/repos/DeepTrackAI/DeepTrack2)

## D’autres dépôts Jupyter Notebook

- [NVIDIA/metropolis-nim-workflows · ★ 203 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/repos/NVIDIA/metropolis-nim-workflows)
- [datawhalechina/wow-agent · ★ 203 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/repos/datawhalechina/wow-agent)
- [langchain-ai/context\_engineering · ★ 203 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/repos/langchain-ai/context_engineering)
- [shekkizh/neuralnetworks.thought-experiments · ★ 203 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/repos/shekkizh/neuralnetworks.thought-experiments)
- [telescopeuser/workshop\_blog · ★ 203 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/repos/telescopeuser/workshop_blog)
- [rasbt/data-science-tutorial · ★ 203 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/repos/rasbt/data-science-tutorial)

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