In this tutorial, we are going to discuss Google Colab. Google Colab is a free cloud service from Google and now it supports free GPU! You can start your Python programming language and as well as developing projects on Artificial Intelligence to improve your skills in these domains. Or you can start developing deep learning applications using popular libraries such as Keras, TensorFlow, PyTorch, and OpenCV.
If you want to create a machine learning model but say you don’t have a computer that can take the workload, Google Colab is the platform for you. Even if you have a GPU or a good computer creating a local environment with anaconda and installing packages and resolving installation issues are a hassle. Colaboratory is a free Jupyter notebook environment provided by Google where you can use free GPUs and TPUs which can solve all these issues.
Colab is a free notebook environment that runs entirely in the cloud. It lets you and your team members edit documents, the way you work with Google Docs. Colab supports many popular machine learning libraries which can be easily loaded in your notebook. In this tutorial, we have covered different topics such as, What is Google Colab, Why do we need it, What are its features, and much more, and after understanding all these topics you can easily start working on it with confidence.
- 00:00:00 Introduction
- 00:01:33 - What is Google colab?
- 00:02:26 - Why do we need Google colab?
- 00:03:26 -Features of Google colab
- 00:06:10 - What is GPU?
- 00:07:55 - Types of Runtime in Google Colab
- 00:09:25 - Getting started with Google colab
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