April 2020
Intermediate to advanced
380 pages
9h 24m
English
Content preview from Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter
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Google's MobileNet
Google's MobileNet was launched in 2017. It is a set of mobile-first computer vision models based on TensorFlow, very carefully optimized to run efficiently within a restrictive mobile environment. It acts as a bridge between accuracy in complex neural network structures and performance constraints on mobile runtimes. Since the models have the capability to run locally on the device itself, MobileNet has the advantages of security, privacy, and flexible accessibility. The two most important goals of MobileNet are reduced size and minimal complexity when dealing with computer vision models. The first version of MobileNet offered low-latency models capable of working smoothly with restrictive resources. They can be used for ...
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