Deep Learning with TensorFlow - Second Edition

Summary

In this chapter, we introduced CNNs. We have seen that CNNs are suitable for image classification problems, making the training phase faster and the test phase more accurate.

The most common CNN architectures have been described: the LeNet-5 model, designed for handwritten and machine-printed character recognition; AlexNet, which competed in the ILSVRC in 2012; the VGG model, which achieves a top-5 test accuracy of 92.7% in ImageNet (a dataset of over 14 million images belonging to 1,000 classes); and finally the Inception-v3 model, which was responsible for setting the standard for classification and detection in the ILSVRC in 2014.

The description of each CNN architecture was followed by a code example. Also, the AlexNet network and VGG ...