Congratulations guys! We have made it to the last chapter! I really appreciate your efforts. In this chapter, you have learned a lot of things such as artificial intelligence aspects that help you understand why deep learning is the buzzword nowadays. We have seen the concept of ANNs. We have seen concepts such as gradient descent, various activation functions, and loss functions. We have seen the architecture of DNN and the DL life cycle. We have also touched on the basics of the sequence-to-sequence model and developed applications such as machine translation, title generation, and summarization. We have also seen the gradient descent-based optimization techniques.
The next sections are Appendices A to C, that will provide you with an overview about frameworks such as hadoop, spark, and so on. You can also see the installation guide for these frameworks as well as other...