2021
DOI: 10.48550/arxiv.2109.01932
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ISyNet: Convolutional Neural Networks design for AI accelerator

Abstract: In recent years Deep Learning reached significant results in many practical problems, such as computer vision, natural language processing, speech recognition and many others. For many years the main goal of the research was to improve the quality of models, even if the complexity was impractically high. However, for the production solutions, which often require real-time work, the latency of the model plays a very important role. Current state-of-the-art architectures are found with neural architecture search… Show more

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