Dr. James McCaffrey of Microsoft Research provides a full code sample and screenshots to explain how to create and use PyTorch Dataset and DataLoader objects, used to serve up training or test data in ...

At last week's Spark AI Summit Europe, we had the chance to discuss with some of the rock stars of this community. MLFlow's new version was presented in Databricks Chief Technologist Matei Zaharia's ...

Deep learning is transforming the way we approach complex problems in various fields, from image recognition to natural language processing. Among the tools available to researchers and developers, ...

Machine learning is an increasingly important tool for developers, providing a way to build applications that can deliver a wide range of prediction-based tasks. In the past you might have had to ...

PyTorch is an open source machine learning framework used for developing deep learning models. Originally created by Meta AI (the Facebook owner's AI research arm) in 2016, it is now maintained under ...

PyTorch is definitely the flavor of the moment, especially with the recent 1.3 and 1.4 releases bringing a host of performance improvements and more developer-friendly support for mobile platforms.

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In order to train a PyTorch neural network you must write code to read training data into memory, convert the data to PyTorch tensors, and serve the data up in batches. This task is not trivial and is ...