An accessible introduction to the artificial intelligence technology that enables computer
vision speech recognition machine translation and driverless cars. Deep learning is an
artificial intelligence technology that enables computer vision speech recognition in mobile
phones machine translation AI games driverless cars and other applications. When we use
consumer products from Google Microsoft Facebook Apple or Baidu we are often interacting
with a deep learning system. In this volume in the MIT Press Essential Knowledge series
computer scientist John Kelleher offers an accessible and concise but comprehensive
introduction to the fundamental technology at the heart of the artificial intelligence
revolution. Kelleher explains that deep learning enables data-driven decisions by identifying
and extracting patterns from large datasets its ability to learn from complex data makes deep
learning ideally suited to take advantage of the rapid growth in big data and computational
power. Kelleher also explains some of the basic concepts in deep learning presents a history
of advances in the field and discusses the current state of the art. He describes the most
important deep learning architectures including autoencoders recurrent neural networks and
long short-term networks as well as such recent developments as Generative Adversarial
Networks and capsule networks. He also provides a comprehensive (and comprehensible)
introduction to the two fundamental algorithms in deep learning: gradient descent and
backpropagation. Finally Kelleher considers the future of deep learning—major trends possible
developments and significant challenges.
