Deep Learning

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  • Author : John D. Kelleher
  • Publisher : MIT Press
  • Pages : 296 pages
  • ISBN : 0262537559
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Deep Learning

Download or Read online Deep Learning full in PDF, ePub and kindle. this book written by John D. Kelleher and published by MIT Press which was released on 10 September 2019 with total page 296 pages. We cannot guarantee that Deep Learning book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

Deep Learning
  • Author : John D. Kelleher
  • Publisher : MIT Press
  • Release : 10 September 2019
GET THIS BOOK 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

Deep Learning with Structured Data

Deep Learning with Structured Data
  • Author : Mark Ryan
  • Publisher : Manning Publications
  • Release : 29 December 2020
GET THIS BOOK Deep Learning with Structured Data

Deep learning offers the potential to identify complex patterns and relationships hidden in data of all sorts. Deep Learning with Structured Data shows you how to apply powerful deep learning analysis techniques to the kind of structured, tabular data you'll find in the relational databases that real-world businesses depend on. Filled with practical, relevant applications, this book teaches you how deep learning can augment your existing machine learning and business intelligence systems. Purchase of the print book includes a free

Deep Learning For Dummies

Deep Learning For Dummies
  • Author : John Paul Mueller,Luca Massaron
  • Publisher : John Wiley & Sons
  • Release : 14 May 2019
GET THIS BOOK Deep Learning For Dummies

Take a deep dive into deep learning Deep learning provides the means for discerning patterns in the data that drive online business and social media outlets. Deep Learning for Dummies gives you the information you need to take the mystery out of the topic—and all of the underlying technologies associated with it. In no time, you’ll make sense of those increasingly confusing algorithms, and find a simple and safe environment to experiment with deep learning. The book develops

The Deep Learning Revolution

The Deep Learning Revolution
  • Author : Terrence J. Sejnowski
  • Publisher : MIT Press
  • Release : 23 October 2018
GET THIS BOOK The Deep Learning Revolution

How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy. The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains

Deep Learning for Search

Deep Learning for Search
  • Author : Tommaso Teofili
  • Publisher : Unknown
  • Release : 28 July 2018
GET THIS BOOK Deep Learning for Search

Deep Learning for Search teaches readers how to leverage neural networks, NLP, and deep learning techniques to improve search performance. Deep Learning for Search teaches readers how to improve the effectiveness of your search by implementing neural network-based techniques. By the time their finished, they'll be ready to build amazing search engines that deliver the results your users need and get better as time goes on! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub

Deep Learning for Vision Systems

Deep Learning for Vision Systems
  • Author : Mohamed Elgendy
  • Publisher : Manning Publications
  • Release : 10 November 2020
GET THIS BOOK Deep Learning for Vision Systems

How does the computer learn to understand what it sees? Deep Learning for Vision Systems answers that by applying deep learning to computer vision. Using only high school algebra, this book illuminates the concepts behind visual intuition. You'll understand how to use deep learning architectures to build vision system applications for image generation and facial recognition. Summary Computer vision is central to many leading-edge innovations, including self-driving cars, drones, augmented reality, facial recognition, and much, much more. Amazing new computer

MATLAB Deep Learning

MATLAB Deep Learning
  • Author : Phil Kim
  • Publisher : Apress
  • Release : 15 June 2017
GET THIS BOOK MATLAB Deep Learning

Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks. In a blend of fundamentals and applications, MATLAB Deep Learning employs MATLAB as the underlying programming language and tool for the examples and case studies in this book. With this book, you'll be able to tackle some of today's real world big data, smart bots,

Deep Learning with R

Deep Learning with R
  • Author : Francois Chollet,J.j. Allaire
  • Publisher : Pearson Professional
  • Release : 09 December 2021
GET THIS BOOK Deep Learning with R

Introduces deep learning systems using the powerful Keras library and its R language interface. The book builds your understanding of deep learning through intuitive explanations and practical examples.

Neural Networks and Deep Learning

Neural Networks and Deep Learning
  • Author : Charu C. Aggarwal
  • Publisher : Springer
  • Release : 25 August 2018
GET THIS BOOK Neural Networks and Deep Learning

This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications. Why do neural networks work? When do they work better than off-the-shelf machine-learning models? When is depth useful? Why is training neural networks so hard? What are the

Python Deep Learning

Python Deep Learning
  • Author : Ivan Vasilev,Daniel Slater,Gianmario Spacagna,Peter Roelants,Valentino Zocca
  • Publisher : Packt Publishing Ltd
  • Release : 16 January 2019
GET THIS BOOK Python Deep Learning

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries Key Features Build a strong foundation in neural networks and deep learning with Python libraries Explore advanced deep learning techniques and their applications across computer vision and NLP Learn how a computer can navigate in complex environments with reinforcement learning Book Description With the surge in artificial intelligence in applications catering to both business and consumer needs, deep learning is more important than ever for meeting current

Deep Learning with Python

Deep Learning with Python
  • Author : Francois Chollet
  • Publisher : Manning Publications
  • Release : 28 October 2017
GET THIS BOOK Deep Learning with Python

Summary Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher Fran�ois Chollet, this book builds your understanding through intuitive explanations and practical examples. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition,

Deep Learning and the Game of Go

Deep Learning and the Game of Go
  • Author : Max Pumperla,Kevin Ferguson
  • Publisher : Manning Publications
  • Release : 06 January 2019
GET THIS BOOK Deep Learning and the Game of Go

It's nearly impossible to build a competent Go-playing machine using conventional programming techniques, let alone have it win. By applying advanced AI techniques, in particular deep learning and reinforcement learning, users can train their Go-bot in the rules and tactics of the game. Deep Learning and the Game of Go opens up the world of deep learning and AI by teaching readers to build their own Go-playing machine. Purchase of the print book includes a free eBook in PDF, Kindle,

Deep Learning

Deep Learning
  • Author : Ian Goodfellow,Yoshua Bengio,Aaron Courville
  • Publisher : MIT Press
  • Release : 10 November 2016
GET THIS BOOK Deep Learning

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts.

Deep Learning with Theano

Deep Learning with Theano
  • Author : Christopher Bourez
  • Publisher : Packt Publishing Ltd
  • Release : 31 July 2017
GET THIS BOOK Deep Learning with Theano

Develop deep neural networks in Theano with practical code examples for image classification, machine translation, reinforcement agents, or generative models. About This Book Learn Theano basics and evaluate your mathematical expressions faster and in an efficient manner Learn the design patterns of deep neural architectures to build efficient and powerful networks on your datasets Apply your knowledge to concrete fields such as image classification, object detection, chatbots, machine translation, reinforcement agents, or generative models. Who This Book Is For This

Deep Learning

Deep Learning
  • Author : Josh Patterson,Adam Gibson
  • Publisher : "O'Reilly Media, Inc."
  • Release : 28 July 2017
GET THIS BOOK Deep Learning

Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning—especially deep neural networks—make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning networks. Authors Adam Gibson and Josh Patterson provide theory on deep learning before introducing their open-source Deeplearning4j (DL4J) library