Getting Started with Colab

Create a new notebook

Access Google Colab
Sign in with your Google account
You can also upload your own .ipynb files
- Go to [File] > [Upload notebook].
- Alternatively, upload an .ipynb file to your Drive and open it in Colab.

Enable GPU in Colab

Go to [Runtime] > [Change runtime type] and select T4 GPU.

Version History

Available Resources

Disk Space:
- 78 GB when using a GPU.
- 107 GB when using only the CPU.
RAM: 12.72 GB.
GPU: T4 (15GB memory).
Session Duration: Up to 12 hours but may disconnect earlier if idle.
Daily Usage: Generally around 12 hours of GPU usage, depending on load.
Idle Timeout: Disconnects after 90 minutes of inactivity.

Note: From my experience, you can use a GPU for about 3–4 hours continuously.

You can check resources in the top-right corner of the Colab notebook. For more details, click on the resource monitoring window.

Working with Datasets

To use a dataset in your notebook:
1. Upload it to your Drive.
2. Mount your Drive to access the dataset:
```
from google.colab import drive
drive.mount('/content/drive')
```

Alternatively, use the Kaggle API to download datasets directly:

!pip install kaggle
!kaggle competitions download -c dataset_name

Use the !wget command to download datasets directly into Colab:

!wget https://www.example.com/dataset.zip

Saving and Accessing Outputs

Save outputs temporarily in Colab's workspace or permanently in Google Drive:

model.save('/content/drive/My Drive/your_folder/model.h5')