Pretrained Neural Network Models for Dunnings 2018 study - TensorFlow format

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Experimentally Defined Convolutional Neural Network Architecture Variants for Non-temporal Real-time Fire Detection - supporting materials

Resource type: Other
Contributors: Creator: Dunnings, Andy ¹
Editor: Dunnings, Andy ¹
Contact person: Breckon, Toby ¹
Editor: Breckon, Toby ¹

¹ Durham University, UK
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Research methods
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Keyword: Convolutional Neural Network
Subject: Neural networks (Computer science)
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Identifier: ark:/32150/r19880vq98m
doi:10.15128/r19880vq98m
Rights: MIT Licence (MIT)
Publisher: Durham University
Date Created

Depositor: T. Breckon
Date Uploaded: 26 July 2018, 17:07:24
Date Modified: 5 December 2018, 08:12:00
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Characterization: File format: zip (ZIP Format)

Mime type: application/zip

File size: 667361509

Last modified: 2018:08:08 12:19:49+01:00

Filename: dunnings-2018-fire-detection-pretrained-models.zip

Original checksum: 98815a8594a18f1cafb3e87af8f9b0f1

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User N. Syrotiuk has updated Pretrained Neural Network Models for Dunnings 2018 study - TensorFlow format	over 5 years ago
User T. Breckon has updated Pretrained Neural Network Models for Dunnings 2018 study - TensorFlow format	over 5 years ago
User T. Breckon has deposited dunnings-2018-fire-detection-pretrained-models.zip	over 5 years ago