- 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
Selected Reading
- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
Google Colab - Introduction
Google is quite aggressive in AI research. Over many years, Google developed AI framework called TensorFlow and a development tool called Colaboratory. Today TensorFlow is open-sourced and since 2017, Google made Colaboratory free for pubpc use. Colaboratory is now known as Google Colab or simply Colab.
Another attractive feature that Google offers to the developers is the use of GPU. Colab supports GPU and it is totally free. The reasons for making it free for pubpc could be to make its software a standard in the academics for teaching machine learning and data science. It may also have a long term perspective of building a customer base for Google Cloud APIs which are sold per-use basis.
Irrespective of the reasons, the introduction of Colab has eased the learning and development of machine learning apppcations.
So, let us get started with Colab.
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