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Google Colaboratory. Colab is a hosted Jupyter Notebook service that requires no setup to use and provides free access to computing resources, including GPUs and TPUs. Colab is especially well suited to machine learning, data science, and education.
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The document you are reading is not a static web page, but an interactive environment called a Colab notebook that lets you write and execute code. For example, here is a code cell with a short...
Compare Gemini and ChatGPT responses. Use Google's latest model release, Gemini, to teach you what you want to know and compare those with ChatGPT's responses. The models are specifically prompted not to generate extra text to make it easier to compare any differences.
Colab’s fallback runtime version. Using the fallback runtime version temporarily allows access to the Python 3.7 runtime, and will be available until mid-December. This is available from the Command Palette via the “Use fallback runtime version” command when connected to a runtime.
Official Colab Help Center where you can find tips and tutorials on using Colab and other answers to frequently asked questions.
With Colab you can import an image dataset, train an image classifier on it, and evaluate the model, all in just a few lines of code. Colab notebooks execute code on Google's cloud servers, meaning...
In order to provide access to as many students and under-resourced groups around the world as possible, Colab prioritizes users who are actively programming in a notebook. Colab also restricts...
I’ve been teaching Python programming for several years and I’ve discovered some great tools and techniques to help students learn and to make my life easier. My absolute favorite teaching tool is Google Colab — read on to learn why I love it.
To learn more about Colab, visit Colaboratory Frequently Asked Questions.
