- Google Colab Tutorial
- Google Colab - Home
- Google Colab - Introduction
- What is Google Colab?
- Your First Colab Notebook
- Documenting Your Code
- Google Colab - Saving Your Work
- Google Colab - Sharing Notebook
- Invoking System Commands
- Executing External Python Files
- Google Colab - Graphical Outputs
- Google Colab - Code Editing Help
- Google Colab - Magics
- Google Colab - Adding Forms
- Google Colab - Installing ML Libraries
- Google Colab - Using Free GPU
- Google Colab - Conclusion
- Google Colab Useful Resources
- Google Colab - Quick Guide
- Google Colab - Useful Resources
- Google Colab - Discussion
Google Colab - Conclusion
Google Colab is a powerful platform for learning and quickly developing machine learning models in Python. It is based on Jupyter notebook and supports collaborative development. The team members can share and concurrently edit the notebooks, even remotely. The notebooks can also be published on GitHub and shared with the general public. Colab supports many popular ML libraries such as PyTorch, TensorFlow, Keras and OpenCV. The restriction as of today is that it does not support R or Scala yet. There is also a limitation to sessions and size. Considering the benefits, these are small sacrifices one needs to make.
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