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Exploring the New Class of Winograd Algorithms webinar covers:

  • The recently introduced class of algorithms that can reduce the arithmetic complexity of convolution layers in the model, with small filter sizes
  • The latest optimization techniques for the most common solutions, such as GEMM
  • The design of Winograd algorithms, with an analysis of the complexity and the performance achieved for convolutional neural networks
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