Computing Receptive Fields of Convolutional Neural Networks

Detailed derivations and open-source code to analyze the receptive fields of convnets.

Computing Receptive Fields of Convolutional Neural Networks Distill Computing Receptive Fields of Convolutional Neural Networks Mathematical derivations and open-source library to compute receptive fields of convnets, enabling the mapping of extracted features to input signals. Authors Affiliations André Araujo Google Research Wade Norris Perception Labs Jack Sim Google Research Published Nov. 4, 2019 DOI 10.23915/distill.00021 While deep neural networks have overwhelmingly established state-of-the-art results in many artificial intelligence problems, they can still be difficult to develop and

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