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Deep Learning. John D. Kelleher

Deep-Learning.pdf
ISBN: 9780262537551 | 296 pages | 8 Mb

• Deep Learning
• John D. Kelleher
• Page: 296
• Format: pdf, ePub, fb2, mobi
• ISBN: 9780262537551
• Publisher: MIT Press

Ebooks - audio - free download Deep Learning (English literature) by John D. Kelleher

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.

What is deep learning (deep neural network)? - Definition from
Deep learning is an aspect of artificial intelligence (AI) that is concerned with emulating the learning approach that human beings use to gain  Deep Learning - Scholarpedia
Deep Learning has revolutionised Pattern Recognition and Machine Learning. It is about credit assignment in adaptive systems with long  Deep Learning | Coursera
Learn Deep Learning from deeplearning.ai. If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought  What Is The Difference Between Deep Learning, Machine Learning
Deep Learning is not only a massive buzzword spanning business and technology but also a concept that will transform most industries and  Deep learning explained | InfoWorld
Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the  Unsupervised Feature Learning and Deep Learning Tutorial
Description: This tutorial will teach you the main ideas of Unsupervised Feature Learning and Deep Learning. By working through it, you will also get to 

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