9
Deep Learning with Redshift ML
We explored supervised learning in Chapters 6 and 7 and unsupervised learning models in Chapter 8. In this chapter, we will explore deep learning algorithms, a multilayer perceptron (MLP), which is a feedforward artificial neural network (ANN), and understand how it handles data that is not linearly separable (which means the data points in your data cannot be separated by a clear line). This chapter will provide detailed steps on how to perform deep learning in Amazon Redshift ML using MLP. By the end of this chapter, you will be in a position to identify a business problem that can be solved using MLP and know how to create the model, evaluate the performance of the model, and run predictions.
In this chapter, ...
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