In the top left corner, you can change the name of the notebook from “Untitled.ipynb“ to the name of your choice by clicking on it. Since a Colab notebook can be accessed remotely from any machine through a browser, it’s well suited for commercial purposes as well.
Google Colab supports both GPU and TPU instances, which makes it a perfect tool for deep learning and data analytics enthusiasts because of computational limitations on local machines. This is necessary because it means that you can train large scale ML and DL models even if you don’t have access to a powerful machine or a high speed internet access. Google Colab is a great platform for deep learning enthusiasts, and it can also be used to test basic machine learning models, gain experience, and develop an intuition about deep learning aspects such as hyperparameter tuning, preprocessing data, model complexity, overfitting and more.Ĭolaboratory by Google (Google Colab in short) is a Jupyter notebook based runtime environment which allows you to run code entirely on the cloud. If you’re a programmer, you want to explore deep learning, and need a platform to help you do it – this tutorial is exactly for you.
