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On #TutorialTuesdays we revisit resources to power your PyTorch learning journey. This week’s beginner basics text based lesson is in two parts — Datasets & Dataloaders and Transforms. Read on for highlights of what you’ll learn: 🧵👇bit.ly/3D8cmyy
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In PyTorch Datasets & Dataloaders Tutorial: Code for processing data samples needs to be organized. Dataset code should be decoupled from model training code for better readability & modularity. Learn in 5 steps.
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In this PyTorch Datasets & Dataloaders Tutorial, learn about datasets:
1) Loading
2) Iterating & visualizing
3) Creating a custom dataset
4) Preparing your data for training with DataLoaders
5) Iterating through the DataLoader
Give it a try: bit.ly/3D8cmyy
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1) Loading
2) Iterating & visualizing
3) Creating a custom dataset
4) Preparing your data for training with DataLoaders
5) Iterating through the DataLoader
Give it a try: bit.ly/3D8cmyy
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