Webinar: How to Improve Your Model’s Accuracy Without Adding More Data

High accuracy is every data scientist’s holy grail, but how much data do you really need to get to your desired accuracy?

Check out this webinar with Yonatan Geifman (PhD), CEO & Co-Founder at Deci, to learn:

  • The differences between data-centric and model-centric approaches to model development
  • How to combine the best of both approaches
  • Learn new ways to improve your models’ accuracy without adding more data.

Watch now and  to learn more about improving the performance of your deep learning models.

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					from transformers import AutoFeatureExtractor, AutoModelForImageClassification

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

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