https://github.com/joekakone/get-started-with-keras-callbacks
Get started with Keras callbacks
https://github.com/joekakone/get-started-with-keras-callbacks
callbacks keras tensorlfow
Last synced: about 1 month ago
JSON representation
Get started with Keras callbacks
- Host: GitHub
- URL: https://github.com/joekakone/get-started-with-keras-callbacks
- Owner: joekakone
- Created: 2021-05-17T07:49:38.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2021-05-19T10:08:46.000Z (about 5 years ago)
- Last Synced: 2025-03-03T19:57:39.695Z (over 1 year ago)
- Topics: callbacks, keras, tensorlfow
- Language: Jupyter Notebook
- Homepage:
- Size: 6.84 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Get started with Keras callbacks
Je suis Joseph Konka, Data Scientist Junior chez Rintio. Contactez-moi sur joseph.kakone@gmail.com ou sur [LinkedIn](https://www.linkedin.com/in/joseph-koami-konka) ou encore sur [Facebook](https://web.facebook.com/josephkonka1999). Au plaisir d'échanger avec vous !
Dans cette série de didacticiels j'explore les principaux callbacks Keras. Pour téléchager le jeu de données, faites `sh download.sh`
## Sommaire
1. [ModelCheckpoint](1.ipynb)
2. [Tensorbaord](2.ipynb)
3. [LearningRateScheduler](3.ipynb)
4. [EarlyStopping](4.ipynb)
5. [Four main callbacks](5.ipynb)