liveBook · Manning

Module

As explained in Deep Learning with Python, Third Edition

A repeated architectural unit in the Transformer made from attention and feedforward sublayers.

A module turns a complex architecture into a repeatable unit. In a Transformer, the unit is a block that alternates an attention sublayer with a two-layer feedforward network, then repeats through the model. section 9.1 section 15.6

A Transformer stack

Picture a sequence passing through several identical-looking blocks: attention selectively pulls information from elsewhere in the sequence, and the feedforward sublayer transforms the resulting representation. Stacking these modules builds a deeper model without inventing a new architecture at every depth. section 15.6 section 9.1

Use these distinctions when reading an architecture diagram:

  • Treat a module as a reusable architectural pattern, not merely as one isolated layer. section 9.1
  • Expect Transformer modules to pass information through attention and then a two-layer feedforward network. section 15.6
  • Read the stack as a hierarchy: repeated modules organize the model while attention provides sequence-wide information flow. section 9.1 section 15.6

How Deep Learning with Python, Third Edition covers it

How deep it goes
Defines modules through architectural repetition and identifies Transformer block composition, but does not detail sublayer implementation.
Examples
Uses stacked Transformer blocks and repeated ConvNet blocks, including Xception’s repeated convolution and pooling pattern.
What you can do after
Evaluate/understand architecture diagrams by identifying reusable blocks and their attention and feedforward roles.
How it connects
Connects modules with hierarchy, reuse, attention, feedforward networks, encoders, decoders, and sequence modeling.

Also explained in

Compare how 35 books explain module →

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Deep Learning with Python, Third Edition. The section links point to the parts of the book it draws on.