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Putting It All Together

Explore how to integrate data preparation, model configuration, and training processes into a complete PyTorch pipeline. This lesson helps you understand the overall training loop structure, enabling you to build and train models efficiently while considering variations like datasets, loss functions, and optimizers.

Overall view of the result

We have updated each one of the three fundamental parts of our code at least twice. It is time to put it all together to get an overall view of what we have achieved so far.

Behold your pipeline: ...