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Theory is one thing. Implementation is where the rubber meets the road. Let's build the two-tower neural recommender from scratch. In this tutorial (Part 2), we implement the complete neural collaborative filtering pipeline in PyTorch. You'll learn how the "RecommenderDataset" class creates 2.5 million training examples from 500K purchases ...
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