Abstract
There are releases from the current DL libraries that support building applications for mobile devices. For example, TensorFlowLite, Caffe Android, and Torch Android are all releases from TF, Caffe, and Torch, respectively, to support mobile devices. These releases are based on their parents. There must be an in-between step in order to make the original model work on mobile devices. For example, the process of creating an Android application that uses TensorFlowLite has the following summarized steps:
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© 2018 Ahmed Fawzy Gad
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Gad, A.F. (2018). Cross-Platform Data Science Applications. In: Practical Computer Vision Applications Using Deep Learning with CNNs. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-4167-7_8
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DOI: https://doi.org/10.1007/978-1-4842-4167-7_8
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-4166-0
Online ISBN: 978-1-4842-4167-7
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