Deep Learning. John D. Kelleher

Deep Learning


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

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  • Deep Learning
  • John D. Kelleher
  • Page: 296
  • Format: pdf, ePub, fb2, mobi
  • ISBN: 9780262537551
  • Publisher: MIT Press
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Full downloadable books for free Deep Learning MOBI by John D. Kelleher 9780262537551 English version

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.

Deep Learning on AWS - Amazon Web Services
Learning about the benefits of deep learning and get started today on AWS. Software links | Deep Learning
MXNet – MXNet is a deep learning framework designed for both efficiency and Lasagne – Lasagne is a lightweight library to build and train neural networks in  Deep Learning Definition - Investopedia
Deep learning is a subset of machine learning in artificial intelligence (AI) that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Also known as deep neural learning or deep neural network. Deep Learning (Neural Networks) — H2O 3.26.0.2 documentation
H2O's Deep Learning is based on a multi-layer feedforward artificial neural network that is trained with stochastic gradient descent using back-propagation. The deepest problem with deep learning - Gary Marcus - Medium
On November 21, I read an interview with Yoshua Bengio in Technology Review that to a suprising degree downplayed recent successes in deep learning,  The Complete Beginners Guide to Deep Learning - Towards Data
We live in a world where, for better and for worse, we are constantly surrounded by deep learning algorithms. From social network filtering to driverless cars to  Deep Learning - MIT Technology Review
Intelligent Machines. Deep Learning. With massive amounts of computational power, machines can now recognize objects and translate  How to explain deep learning in plain English | The Enterprisers
What is deep learning? How does it work? What is the difference between machine learning and deep learning? We break down this branch of  Deep learning - Wikipedia
Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on artificial neural networks. Learning can be supervised, semi-supervised or unsupervised.



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