Shared neural foundations
Learn outputs, loss and convergence, retrieve the shared ideas, then optionally explore capacity and regularisation.
Helpful prior knowledge: Supervised Workflow checkpoint. These links are guidance, not locks.
Follow teaches the idea; Change asks you to make a choice; Transfer changes the context. Apply, reviews and checkpoints appear where the existing lessons provide them. Go Further lessons are optional.
Lessons in this model deck
Start with the first core lesson →
From inputs to network outputs
Understand layers, units and task-shaped outputs.
12–18 min · 3 practicesLearning weights by reducing loss
Separate optimisation from generalisation.
12–18 min · 3 practicesConvergence, early stopping and validation
Distinguish internal stopping, outer CV and final testing.
18–25 min · 4 practicesShared network retrieval
Retrieve earlier concepts before combining them.
15–20 min · 3 practicesCapacity and regularisation
Interpret controlled width and alpha experiments.
12–18 min · 3 practicesChoose your next model deck
Browse all Neural Networks lessons, reviews and checkpoints →