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