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Google Colab a White Paper

Author(s):

Rahul R. Zaveri , Veermata Jijabai Technological Institute, Matunga; Prof. Pramila M. Chawan, Veermata Jijabai Technological Institute, Matunga

Keywords:

Google Colab, Python, Machine Learning, CPU, GPU, Cloud

Abstract

Python is an interpreted high-level general-purpose programming language. As Python is used for scripting, it is also used for Machine Learning and Neural Networks. Since, these algorithms are extremely power hungry, they make use of a lot of Processing Power and Memory Allocation. Sometimes, when the CPU is incapable of handling the load, the CPU allocates this job to the GPU. Since, conventional computers are still unable to handle the processing of such processor hungry and memory hungry programs, the Machine Learning can’t be performed adequately and takes a lot of processing time. Also, a major drawback is since the memory available in conventional mid-range computers is not of the latest version and not big enough, there is a compromise needed to be ensured by the user in case of an efficiency and speed. To solve this problem Google came out with the solution, “Google Colab”. Google Colab was the web-app version on Jupyter Notebooks.

Other Details

Paper ID: IJSRDV9I60184
Published in: Volume : 9, Issue : 6
Publication Date: 01/09/2021
Page(s): 124-125

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