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Welcome to Google Colab: Tricks and Tweaks (Part 2)
An introduction to opportunities for learning, practicing, and developing with colab.
Note: This story is the 2nd part of the series. I highly recommend you to go through the 1st part first :)
Google Colab — Introduction
Google is quite aggressive in AI research. Over many years, Google developed an AI framework called TensorFlow and a development tool called Colaboratory. Today TensorFlow is open-sourced and since 2017, Google made Colaboratory free for public 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 the public could be to make its software a standard in 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 applications.
