ABSTRACT
This chapter introduces the reader to many important applications of deep learning in industry. It provides a high-level overview of deep learning and its key architectures. The chapter provides a survey and discussion of the main applications of deep learning, categorized into four general tasks: recognition; generation; decision-making; and forecasting. Deep learning models are artificial neural networks which emphasize the use of multiple connected layers to gradually transform input signals to the desired outputs. Generating new content is an important area of machine learning with applications ranging from conversational artificial intelligence to knowledge discovery, and generative models are approaches that simulate how the data from the desired distribution are generated. Deep learning approaches, and in particular Convolutional neural networks, are especially well suited for processing visual data. The chapter concludes with a discussion on the strengths and weakness, as well as the future applications of deep learning.
