Google Colab Tutorial
Selected Reading
- Google Colab - Discussion
- Google Colab - Useful Resources
- Google Colab - Quick Guide
- Google Colab - Conclusion
- Google Colab - Using Free GPU
- Google Colab - Installing ML Libraries
- Google Colab - Adding Forms
- Google Colab - Magics
- Google Colab - Code Editing Help
- Google Colab - Graphical Outputs
- Executing External Python Files
- Invoking System Commands
- Google Colab - Sharing Notebook
- Google Colab - Saving Your Work
- Documenting Your Code
- Your First Colab Notebook
- What is Google Colab?
- Google Colab - Introduction
- Google Colab - Home
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- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
Google Colab - Conclusion
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 pubpshed on GitHub and shared with the general pubpc. Colab supports many popular ML pbraries 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 pmitation to sessions and size. Considering the benefits, these are small sacrifices one needs to make.
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