Interactive lesson~18 minAdvanced

Neural Architecture Search

Neural Architecture Search automates model design by exploring architectures under accuracy, latency, memory, and hardware constraints.

NASEfficientNetAutoML

Mental model

Let search explore the design space, but tell it what trade-offs matter.

NAS ideas shaped efficient CNNs, mobile models, and hardware-aware architecture optimization.

Accuracy

balanced

72% modeled signal

Device speed

balanced

67% modeled signal

Search cost

balanced

56% modeled signal

Concept pipeline

Build the idea in four moves

Interactive lab

Search for a mobile vision architecture.

Search space

Define possible layers, widths, depths, and connections.

Focus lens

The part that usually clicks late

Search space

The space determines what discoveries are possible.

Accuracy

72

Device speed

67

Search cost

56

Knowledge check

Why include hardware constraints in NAS?

Next horizon

Where this topic is headed

Once-for-all networks
Hardware-aware transformers
AutoML for edge AI
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