Abstract
Convolutional neural networks (CNNs) have been widely applied to many computer vision applications such as image classification, face recognition, object detection, and so on. This chapter introduces some of the most popular CNN architectures, including LeNet, AlexNet, VGG, GoogLeNet, and ResNet. Then, it presents two scenarios of implementing Inception-v3, a CNN for computer vision. In the first scenario, we create the Inception-v3 model by using Keras Applications. In the second scenario, we employ TensorFlow Hub to build the Inception-v3 model.
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