Episode
PyTorch development in Visual Studio Code
Visual Studio Code, a free cross-platform lightweight code editor, is one of the most popular among Python developers for both web and machine learning projects. We will be walking you through an end to end PyTorch project to showcase what VS Code has a lot to offer to PyTorch developers to boost their productivity.
Firstly, get your PyTorch project quickly up and running with VS Code’s environment/dependency management and built-in Jupyter Notebook support. Secondly, breeze through coding with help from our AI-powered IntelliSense. When it’s time to run your code, use the built-in Tensorboard integration to monitor your training along with the integrated PyTorch profiler to analyze and debug your code. Once you’re ready for the cloud, VS Code has Azure service integration to allow you to scale your model training and deployment, along with deployment.
Visual Studio Code, a free cross-platform lightweight code editor, is one of the most popular among Python developers for both web and machine learning projects. We will be walking you through an end to end PyTorch project to showcase what VS Code has a lot to offer to PyTorch developers to boost their productivity.
Firstly, get your PyTorch project quickly up and running with VS Code’s environment/dependency management and built-in Jupyter Notebook support. Secondly, breeze through coding with help from our AI-powered IntelliSense. When it’s time to run your code, use the built-in Tensorboard integration to monitor your training along with the integrated PyTorch profiler to analyze and debug your code. Once you’re ready for the cloud, VS Code has Azure service integration to allow you to scale your model training and deployment, along with deployment.
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