Video

AMA: How to Reduce the Guesswork in Choosing the Right DL Model

How do you choose the number of layers, pooling parameters, and activation functions? What type of regularization do you use? Beyond the network components, what other considerations should you keep in mind?

The process of selecting the right architecture for your project is tedious and time-consuming, relying on experience, intuition, and trial and error. In this AMA with Ofri Masad, Deci’s Head of AI, and Amos Gropp, Deep Learning Research Engineer, you will:

  • Have an opportunity to share your challenges in selecting the optimal architecture for your application
  • Discover best practices for reducing time spent on model selection and optimization
  • Learn how industry leaders increase the chance that the right architecture deploys successfully

Watch the AMA session, and optimize your model selection process with Deci’s deep learning platform. Book a demo today.

You May Also Like

[Webinar] How to Speed Up YOLO Models on Snapdragon: Beyond Naive Quantization

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

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

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")