Intro to PyTorch
PyTorch is the industry standard framework for Deep Learning. It is heavily utilized by leading tech organizations around the world, including Meta (who created it) and OpenAI.
One of its greatest strengths is that it allows us to build powerful Neural Networks modularly—much like snapping Lego blocks together to create complex structures.
The Core: nn.Module
The fundamental building block to master is nn.Module. Every single neural network (and even individual layers) in PyTorch inherits from this base class.
Two Required Parts
To create a custom neural network, you must define two critical methods:
__init__: Where you define and instantiate your layers (your Lego blocks).forward: Where you define exactly how the input data flows through those predefined layers to produce a final output.