 Название: Deep Learning with R
Автор: Francois Chollet, J. J. Allaire
Издательство: Manning Publications
ISBN: 161729554X
Год: 2018
Страниц: 392
Язык: английский
Формат: pdf
Размер: 19.6 MB
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 the past few years, artificial intelligence (AI) has been a subject of intense media hype. Machine learning, deep learning, and AI come up in countless articles, often outside of technologyminded publications. We’re promised a future of intelligent chatbots, selfdriving cars, and virtual assistants - a future sometimes painted in a grim light and other times as utopian, where human jobs will be scarce, and most economic activity will be handled by robots or AI agents. For a future or current practitioner of machine learning, it’s important to be able to recognize the signal in the noise so that you can tell worldchanging developments from overhyped press releases. Our future is at stake, and it’s a future in which you have an active role to play: after reading this book, you’ll be one of those who develop the AI agents. So let’s tackle these questions: What has deep learning achieved so far? How significant is it?
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Deep Learning with R 
