Neural Networks
From a single neuron to the architectures that power modern AI.
What you'll actually learn
Most people learn neural networks as "layers of magic that learn," which leaves them unable to debug one when it doesn't train. This track builds from a single neuron — a weighted sum and an activation function, nothing more — up through backpropagation as literally just the chain rule applied mechanically, so you understand why a network's weights update the way they do instead of trusting a framework to handle it invisibly.
What you'll be able to do
You'll be able to look at a network that isn't learning — loss stuck, gradients vanishing, weights exploding — and diagnose which specific mechanism is failing, rather than randomly changing the learning rate and hoping. That diagnostic instinct is what separates someone who's called model.fit() from someone who actually understands what happened when it didn't work.
Syllabus
Leads to
Frequently asked
Roughly 1 hour across 8 hands-on quests — you can go at your own pace and pick up exactly where you left off.
You should be comfortable with Machine Learning in Practice first — the skill tree unlocks Neural Networks once you've cleared those.
Yes — Neural Networks is fully available on the free tier, starting with a free first quest and no payment method required to sign up. Plus and Elite remove pacing limits but don't gate any of the Neural Networks curriculum behind a paywall.
Create a free account and begin your first quest — no card required.
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