January 2018
Intermediate to advanced
310 pages
7h 48m
English
Howard and others (https://arxiv.org/pdf/1704.04861.pdf) introduced a new class of models called MobileNets that can be used for mobile and embedded applications. MobileNets can be used for different applications such as object detection, landmark recognition, face attributes, fine-grain classification as shown here:

MobileNets reduced the size and computation of models by replacing standard convolution filters (a) with depthwise (b) and pointwise convolutions (c) as shown here:

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