Skip to content
gqlxj1987's Blog
Go back

AutoML and Neural Architecture Search

Edit page

原文链接

NAS is an algorithm that searches for the best neural network architecture.(Neural Architecture Search)

In the NAS algorithm, a controller Recurrent Neural Network (RNN) samples these building blocks, putting them together to create some kind of end-to-end architecture.

the search space itself is quite limited. NAS is designed to build architectures that are very similar in style to the current state-of-the-art.(重复性)


Edit page
Share this post on:

Previous Post
The Affinity Between Events, Streams and Serverless
Next Post
Programming Models for the Event-driven architecture