Mastering Computer Vision with TensorFlow 2.x

Overview of MobileNet

MobileNet was introduced by a team of Google engineers in CVPR 2017 in their paper titled MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications. You can find this MobileNet paper at https://arxiv.org/abs/1704.04861.

MobileNet proposes a depthwise separable convolution architecture that shrinks the neural network model so that it can work on the resource restriction issues of edge devices. MobileNet architecture consists of two main parts:

• Depthwise separable convolution
• Pointwise 1 x 1 convolution

Note that we described the importance of 1 x 1 convolution in Chapter 4, Deep Learning on Images, and Chapter 5, Neural Network Architecture and Models. You may want to revisit those chapters ...