Chollet François, Allaire J.J. Deep Learning with R

Manning, 2018. — 325 p.Artificial intelligence has made some incredible leaps. Deep learning systems now deliver near-human speech and image recognition, not to mention machines capable of beating world champion Go masters. Deep learning applies to a widening range of problems, such as question answering, machine translation, and optical character recognition. It's behind photo tagging, self-driving cars, virtual assistants and other previously impossible applications.In particular, deep learning excels at machine perception problems, such as understanding image, video, or sound data. For example, suppose you want to tag a large collection of images — "dog", "cat", "Mom", etc. With deep learning, you can create a model that maps such tags to images, learning only from examples. This system can then be applied to new images, automating the process. You just feed the deep learning model examples to start generating useful results on new data.