Webinar: Essential Techniques for Training Neural Networks

There’s no shortage of papers and techniques that explain how to train and improve your neural networks. But who has the time to track down all tricks published in different papers, try them out, and find the ones that really work—for your specific use case?

In this webinar, Shai Rozenberg, Deep Learning Researcher, and Shay Aharon, Deep Learning Engineer, describe some of the top tips that are ‘must-haves’ when it comes to your model training recipe. Join now to learn how to:

  • Implement best practices for improving the way you train your deep learning models including knowledge distillation
  • Keep track of the latest innovations and training enhancement techniques in neural network training
  • Start computer vision projects with an open-source training package that’s always being updated with the best models and recipes

Watch now and improve your neural network training with SuperGradients here.

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					from transformers import AutoFeatureExtractor, AutoModelForImageClassification

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

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