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Deep Learning. John D. Kelleher

Deep Learning

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
Download Deep Learning

Download full books for free online Deep Learning

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 (Neural Networks) — H2O 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. Deep Learning: Definition, Explanation and Applications
Deep learning is a subset of machine learning that tries to find patterns that are seamlessly hidden within data in vast quantities. Deep learning, contrary to  Enterprise AI: A Look at Three Fundamental Deep Learning
Deep learning is a powerful tool for enterprises looking to gain actionable insights and enable automated responses to a flood of data. Topic: deep-learning · GitHub
GitHub is where people build software. More than 40 million people use GitHub to discover, fork, and contribute to over 100 million projects. Deep Learning | Udacity
Machine learning is one of the fastest-growing and most exciting fields out there, and deep learning represents its true bleeding edge. In this course, you'll  A Selective Overview of Deep Learning
In simple words, deep learning uses the composition of many nonlinear While neural networks have a long history, recent advances have  Deep Learning & Artificial Intelligence Solutions from NVIDIA
Get the latest news on deep learning and artificial intelligence solutions and technologies, educational resources, and much more. K-12 Teaching and Learning - Hewlett Foundation
The students in this classroom are engaged in deep learning. They are drawing on knowledge and skills from many subject areas and experiences to build  Deep Learning | Coursera
Learn Deep Learning from 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 Deep Learning? | How It Works, Techniques & Applications
Deep learning is a machine learning technique that teaches computers to learn by example. Learn more about deep learning with MATLAB examples and tools. Deep Learning | Latest News, Photos & Videos | WIRED
Find the latest Deep Learning news from WIRED. See related science and technology articles, photos, slideshows and videos. Intro to TensorFlow for Deep Learning | Udacity
Learn how to build deep learning applications with TensorFlow. This course was developed by the TensorFlow team and Udacity as a practical approach to 

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