Video

Webinar: How to Leverage Neural Architecture Search to Optimize Your Models

Neural Architecture Search (NAS) holds the power to efficiently generate deep neural networks that are designed to meet specific production constraints.

AutoNAC is the first and only commercially scalable solution based on Neural Architecture Search.

Auto-generated by Deci’s AutoNAC technology, DeciNets models outperform any known state-of-the-art models and deliver the best accuracy- latency tradeoff.

In this webinar, our Deep Learning Research Engineer, Yonatan Fuchs, demonstrates how you can easily leverage the power of NAS to:

  • Achieve better accuracy compared to any other known computer vision SoTA models
  • Shorten development time
  • Guarantee success in production

Watch now! And to learn more about AutoNAC or DeciNets, you can book a demo with one of our experts.

TALK TO AN EXPERT

You May Also Like

[Webinar] How to Evaluate LLMs: Benchmarks, Vibe Checks, Judges, and Beyond

[Webinar] How to Boost Accuracy & Speed in Satellite & Aerial Image Object Detection

[Webinar] How to Efficiently Scale Video Analytics at the Edge

Share
Add Your Heading Text Here
				
					from transformers import AutoFeatureExtractor, AutoModelForImageClassification

extractor = AutoFeatureExtractor.from_pretrained("microsoft/resnet-50")

model = AutoModelForImageClassification.from_pretrained("microsoft/resnet-50")