Struggling to Annex Google Colab in Building your Machine Learning Models?

Remarkably, it costs an arm and a leg to get a decent GPU from existing cloud providers. So, how do we build Machine and Deep Learning Models without burning a hole in our pockets? How do we stop the usual “memory error” messages that do pop up any time we execute algorithms on a large dataset? You are having an ancient PC with very low computational power?

Relax. There’s Google Colab!

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What's Google Colab?

It’s a tremendous online browser-based Jupyter Notebook that allows us to train Machine and Deep Learning models on CPUs, GPUs, TPUs for free!

Sounds too good to be true, but thanks to Google, we can now operate on large datasets, build complex models, and even share our work seamlessly with others. That’s the power of Google Colab.

The Goodies of Google Colab

• It does not matter which computer you have or its configuration.
• All you need is a Google account and a web browser.
• Here’s the cherry on top — you get access to GPUs and even TPUs for free!
• Store notebooks on Google Drive.
• Import and commit Notebooks from/to GitHub.