A starter notebook for the Kitchenware classification competition on Kaggle: keras-starter.ipynb
In this notebook, we show how to:
- Download the data from Kaggle and unzip it
- Read the data
- Train an xception model (using the same code as in ML Zoomcamp)
- Make predictions
- Submit the results
You can run this notebook in SaturnCloud:
Using the recipe:
- Download the credential file from Kaggle
- Put the content of the file to SaturnCloud secrets, save this secret as "kaggle"
- Click on the button above to create a resource in SaturnCloud
- Verify that the kaggle secret is linked in the "secrets" tab
- Run the code and submit your predictions
- Improve the score
You can also see it as a video:
Another starter notebook by Harpreet Sahota, forked from here
You can run this notebook in SaturnCloud:
This notebook uses SuperGradients and gets much higher score than the previous one