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.

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					from transformers import AutoFeatureExtractor, AutoModelForImageClassification

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

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