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Machine Learning · Learn / Refresh

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TEACHING COLLECTION

Neural classification

Apply shared network ideas to class prediction and complete its independent checkpoint.

Helpful prior knowledge: Shared network retrieval · Tune logistic regularisation. 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 →

N03Core · teaching
Neural classification workflow: Scaled X, Class outputs, Macro F1Scaled XClass outputsMacro F1

Neural classification workflow

Apply class outputs and classification evidence to a small network.

25–40 min · 4 practices
N-K2Core · checkpoint
Neural classification checkpoint: Penguin X, Tune network, Class errorsPenguin XTune networkClass errors

Neural classification checkpoint

Complete the Penguin neural classifier workflow with a reference, width selection, class diagnostics and final metrics.

25–35 min · 1 practices

Browse all Neural Networks lessons, reviews and checkpoints →

Choose an independent workflow challenge →