3. A Classification Problem Using DNN
Overview
In this chapter, we'll look at a real-life example in the banking industry in order to solve a classification data problem. You will learn how to make use of PyTorch's custom modules to define the network architecture and train the model. You will also explore the concept of error analysis to improve a model's performance. Finally, you will study the different approaches to deploying a model in order to make use of it in the future. By the end of this chapter, you will have a firm understanding of this process so that you can develop an end-to-end solution to a classification data problem using a deep neural network (DNN) in PyTorch.
Introduction
In the previous chapter, we learned about the ...
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