Recap
Understand how to build a complete PyTorch class covering initialization, training steps, data loaders, checkpointing, and predictions. This lesson helps you recap and solidify key concepts to manage model workflows efficiently.
We'll cover the following...
We'll cover the following...
General overview
In this chapter, we have revisited and reimplemented many methods, and this is exactly what we have covered:
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Defining our
StepByStepclass. -
Understanding the purpose of the constructor (
__init__) method. -
Defining the arguments of the constructor method.
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Defining class’ attributes to store arguments, ...