Summary

CNNs, although not a new concept, has gained immense popularity in the last half a decade. The network primarily finds its application in the field of vision. The last few years have seen some major research on CNN by various technological companies such as Google, Microsoft, Apple, and the like, and also from various eminent researchers. Starting from the beginning, this chapter talked about the concept of convolution, which is the backbone of this type of network. Going forward, the chapter introduced the various layers of this network. Then it provided in-depth explanations for every associated layer of the deep CNN. After that, the various hyperparameters and their relations with the network were explained, both theoretically and mathematically. Later, the chapter talked about the approach of how to distribute the deep CNN across various machines with the help of Hadoop and its YARN. The last part discussed how to implement this network using Deeplearning4j for every worker working...