Understanding PyTorch with an example: a step-by-step tutorial
This article explains how to use fast.ai to create a deep learning model for image classification.
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This article explains how to use Google Colab to run code from the fast.ai course. Google Colab is a free service that allows users to run their code in the cloud. It provides a free GPU (graphics processing unit) to run deep learning models. To use Colab, users must first create an account and then install the necessary packages. Then, they can upload their own data or use the data provided by the course. Finally, they can run the code and view the results.
Colab is a great way to learn deep learning because it is free and easy to use. It also provides a powerful GPU, which is essential for running deep learning models. Colab also makes it easy to share results with others, as users can easily save and share their code and results.
The article provides step-by-step instructions on how to use Colab. It explains how to create an account, install packages, upload data, and run the code. It also provides links to additional resources for those who want to learn more about Colab.
Overall, Colab is a great tool for learning deep learning. It is free, easy to use, and provides a powerful GPU. The article provides detailed instructions on how to get started with Colab and provides links to additional resources.
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