Even Faster CNNs: Exploring the New Class of Winograd Algorithms

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Presented by

Gian Marco Iodice, Staff Software Engineer

About this talk

Over the past decade, deep learning networks have revolutionized the task of classification and recognition in a broad area of applications. Recent developments have shown how these workloads can be implemented on low-power, Arm-based platforms. During this webinar, you will gain an insight into: • The recently introduced class of algorithms that can reduce the arithmetic complexity of convolution layers with small filter sizes • The latest optimizations 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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