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Neural Architecture Search
Neural architecture search (NAS) is a technique for automating the design of artificial neural networks (ANN), a widely used model in the field of machine learning. NAS essentially takes the process of a human manually tweaking a neural network and learning what works well, and automates this task to discover more complex architectures.
Image Credit : NAS with Reinforcement Learning
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26개ImageNetNAS-Bench-201, ImageNet-16-120CIFAR-10NAS-Bench-201, CIFAR-100NAS-Bench-201, CIFAR-10CIFAR-10 Image ClassificationCIFAR-100NATS-Bench Topology, CIFAR-10NATS-Bench Topology, CIFAR-100NATS-Bench Topology, ImageNet16-120Food-101NAS-Bench-101NATS-Bench Size, CIFAR-10NATS-Bench Size, CIFAR-100CINIC-10DTDFGVC AircraftNATS-Bench Size, ImageNet16-120Oxford 102 FlowersOxford-IIIT Pet DatasetSTL-10Stanford CarsNAS-Bench-201LIDC-IDRIMNISTNAS-Bench-301