Deep Neural Networks for Supervised Learning: Classification
Published: 07 December 2018 by Springer Nature in Learn Keras for Deep Neural Networks
Springer Nature, 10.1007/978-1-4842-4240-7_4
Abstract: In Chapter 3, we explored a DL use case for regression. We explored the entire problem-solving approach with a business-forward strategy. We leveraged all our learning from Chapters 1 and 2 in foundational DL and the Keras framework to develop DNNs for a regression use case. In this chapter, we will take our learning one step further and design a network for a classification use case. The approach overall remains the same, but there are a few nuances we need to keep in mind while solving a classification use case. Moreover, we will take our learning in this chapter one step ahead with extensive DNN architectures. Let’s get started.
Keywords: neural, classification, use case, architectures, Leveraged, chapter, Ahead, Keras, Letâ