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Beyond ImageNet: Deep Learning in Industrial Practice
[chapter]
2019
Applied Data Science
Deep learning (DL) methods have gained considerable attention since 2014. In this chapter we briefly review the state of the art in DL and then give several examples of applications from diverse areas of application. We will focus on convolutional neural networks (CNNs), which have since the seminal work of Krizhevsky et al. (2012) revolutionized image classification and even started surpassing human performance on some benchmark data sets (Ciresan et al., 2012a , He et al., 2015a . While deep
doi:10.1007/978-3-030-11821-1_12
fatcat:5uo3qf2uw5e2dlzkjvtapynbhu