scottyak-adanet

4 ms·

1. 1.▲
   by scottyak-adanet 8y ago

   Yes, the blog post mentions that AdaNet, using NASNet-A as subnetworks, achieves 2.30% error rate on the CIFAR-10 benchmark.
2. 2.▲
   by scottyak-adanet 8y ago

   True, while the AdaNet project doesn’t currently include the most advanced architecture search policies/search spaces out of the box, it does provide an abstraction (adanet.subnetwork.Generator) for researchers to implement their neura
3. 3.▲
   by scottyak-adanet 8y ago

   TL;DR: It depends on the number of subnetworks you search over and the cost of training each subnetwork. You could define a search space with a single DNN, and give it one single iteration, and this would behave identically to the canned DN