Automated Machine Learning in Action

3 Deep learning in a nutshell

This chapter covers

• The basics of building and training deep learning models
• Using a multilayer perceptron for regression on tabular data
• Classifying image data with a multilayer perceptron and a convolutional neural network
• Classifying text data with a recurrent neural network

Deep learning, a subfield of ML, has become a scorching topic in the AI community and beyond. It drives numerous applications across various fields and has achieved superior performance compared with many of the more traditional models introduced earlier. This chapter will present the basic building blocks of deep learning and show you how to apply three popular types of models to solve supervised learning tasks on different data types. ...