Neural Architecture Search
Neural Architecture Search automates model design by exploring architectures under accuracy, latency, memory, and hardware constraints.
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
balanced72% modeled signal
Device speed
balanced67% modeled signal
Search cost
balanced56% 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