[PDF] Deep Learning

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Deep Learning Product Detail:

  • Publisher : "O'Reilly Media, Inc."
  • Release : 28 July 2017
  • ISBN : 9781491914212
  • Page : 532 pages
  • Rating : 5/5 from 1 voters

Deep Learning Book Summary/Review:

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 for developing production-class workflows. Through real-world examples, you’ll learn methods and strategies for training deep network architectures and running deep learning workflows on Spark and Hadoop with DL4J. Dive into machine learning concepts in general, as well as deep learning in particular Understand how deep networks evolved from neural network fundamentals Explore the major deep network architectures, including Convolutional and Recurrent Learn how to map specific deep networks to the right problem Walk through the fundamentals of tuning general neural networks and specific deep network architectures Use vectorization techniques for different data types with DataVec, DL4J’s workflow tool Learn how to use DL4J natively on Spark and Hadoop

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Deep Learning

Deep Learning
  • Author : Josh Patterson,Adam Gibson
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2017-07-28
  • ISBN : 9781491914212
GET THIS BOOKDeep 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

Deep Learning with Structured Data

Deep Learning with Structured Data
  • Author : Mark Ryan
  • Publisher : Manning Publications
  • Release Date : 2020-12-29
  • ISBN : 9781617296727
GET THIS BOOKDeep 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

Practical Deep Learning

Practical Deep Learning
  • Author : Ron Kneusel
  • Publisher : No Starch Press
  • Release Date : 2021-03-16
  • ISBN : 9781718500754
GET THIS BOOKPractical Deep Learning

Practical Deep Learning teaches total beginners how to build the datasets and models needed to train neural networks for your own DL projects. If you’ve been curious about machine learning but didn’t know where to start, this is the book you’ve been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your own models. Rather than simply outlining recipes

Deep Learning in Visual Computing

Deep Learning in Visual Computing
  • Author : Hassan Ugail
  • Publisher : CRC Press
  • Release Date : 2022-07-07
  • ISBN : 9781000625455
GET THIS BOOKDeep Learning in Visual Computing

Deep learning is an artificially intelligent entity that teaches itself and can be utilized to make predictions. Deep learning mimics the human brain and provides learned solutions addressing many challenging problems in the area of visual computing. From object recognition to image classification for diagnostics, deep learning has shown the power of artificial deep neural networks in solving real world visual computing problems with super-human accuracy. The introduction of deep learning into the field of visual computing has meant to

Grokking Deep Learning

Grokking Deep Learning
  • Author : Andrew W. Trask
  • Publisher : Simon and Schuster
  • Release Date : 2019-01-23
  • ISBN : 9781638357209
GET THIS BOOKGrokking Deep Learning

Summary Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Deep learning, a branch of artificial intelligence, teaches computers to learn by using neural networks, technology inspired

The Deep Learning AI Playbook

The Deep Learning AI Playbook
  • Author : Carlos Perez
  • Publisher : Lulu.com
  • Release Date : 2022-10-05
  • ISBN : 9781365879234
GET THIS BOOKThe Deep Learning AI Playbook

Deep Learning for Data Analytics

Deep Learning for Data Analytics
  • Author : Himansu Das,Chittaranjan Pradhan,Nilanjan Dey
  • Publisher : Academic Press
  • Release Date : 2020-05-29
  • ISBN : 9780128226087
GET THIS BOOKDeep Learning for Data Analytics

Deep learning, a branch of Artificial Intelligence and machine learning, has led to new approaches to solving problems in a variety of domains including data science, data analytics and biomedical engineering. Deep Learning for Data Analytics: Foundations, Biomedical Applications and Challenges provides readers with a focused approach for the design and implementation of deep learning concepts using data analytics techniques in large scale environments. Deep learning algorithms are based on artificial neural network models to cascade multiple layers of nonlinear

Advanced Deep Learning for Engineers and Scientists

Advanced Deep Learning for Engineers and Scientists
  • Author : Kolla Bhanu Prakash,Ramani Kannan,S.Albert Alexander,G. R. Kanagachidambaresan
  • Publisher : Springer Nature
  • Release Date : 2021-07-24
  • ISBN : 9783030665197
GET THIS BOOKAdvanced Deep Learning for Engineers and Scientists

This book provides a complete illustration of deep learning concepts with case-studies and practical examples useful for real time applications. This book introduces a broad range of topics in deep learning. The authors start with the fundamentals, architectures, tools needed for effective implementation for scientists. They then present technical exposure towards deep learning using Keras, Tensorflow, Pytorch and Python. They proceed with advanced concepts with hands-on sessions for deep learning. Engineers, scientists, researches looking for a practical approach to deep

Computational Analysis and Deep Learning for Medical Care

Computational Analysis and Deep Learning for Medical Care
  • Author : Amit Kumar Tyagi
  • Publisher : John Wiley & Sons
  • Release Date : 2021-08-10
  • ISBN : 9781119785736
GET THIS BOOKComputational Analysis and Deep Learning for Medical Care

This book discuss how deep learning can help healthcare images or text data in making useful decisions”. For that, the need of reliable deep learning models like Neural networks, Convolutional neural network, Backpropagation, Recurrent neural network is increasing in medical image processing, i.e., in Colorization of Black and white images of X-Ray, automatic machine translation, object classification in photographs / images (CT-SCAN), character or useful generation (ECG), image caption generation, etc. Hence, Reliable Deep Learning methods for perception or producing

Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics

Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics
  • Author : Sujata Dash,Subhendu Kumar Pani,Joel J. P. C. Rodrigues,Babita Majhi
  • Publisher : CRC Press
  • Release Date : 2022-02-11
  • ISBN : 9781000534054
GET THIS BOOKDeep Learning, Machine Learning and IoT in Biomedical and Health Informatics

Biomedical and Health Informatics is an important field that brings tremendous opportunities and helps address challenges due to an abundance of available biomedical data. This book examines and demonstrates state-of-the-art approaches for IoT and Machine Learning based biomedical and health related applications. This book aims to provide computational methods for accumulating, updating and changing knowledge in intelligent systems and particularly learning mechanisms that help us to induce knowledge from the data. It is helpful in cases where direct algorithmic solutions

Deep Learning in Natural Language Processing

Deep Learning in Natural Language Processing
  • Author : Li Deng,Yang Liu
  • Publisher : Springer
  • Release Date : 2018-05-23
  • ISBN : 9789811052095
GET THIS BOOKDeep Learning in Natural Language Processing

In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural language, robotics, and game playing. In particular, the striking success of deep learning in a wide variety of natural language processing (NLP) applications has served as a benchmark for the advances in one of the most important tasks in artificial intelligence. This book reviews the state of the art of deep learning research and its successful applications to

Artificial Intelligence and Deep Learning in Pathology

Artificial Intelligence and Deep Learning in Pathology
  • Author : Stanley Cohen
  • Publisher : Elsevier Health Sciences
  • Release Date : 2020-06-02
  • ISBN : 9780323675376
GET THIS BOOKArtificial Intelligence and Deep Learning in Pathology

Recent advances in computational algorithms, along with the advent of whole slide imaging as a platform for embedding artificial intelligence (AI), are transforming pattern recognition and image interpretation for diagnosis and prognosis. Yet most pathologists have just a passing knowledge of data mining, machine learning, and AI, and little exposure to the vast potential of these powerful new tools for medicine in general and pathology in particular. In Artificial Intelligence and Deep Learning in Pathology, Dr. Stanley Cohen covers the

Deep Learning Approaches to Cloud Security

Deep Learning Approaches to Cloud Security
  • Author : Pramod Singh Rathore,Vishal Dutt,Rashmi Agrawal,Satya Murthy Sasubilli,Srinivasa Rao Swarna
  • Publisher : John Wiley & Sons
  • Release Date : 2022-02-08
  • ISBN : 9781119760528
GET THIS BOOKDeep Learning Approaches to Cloud Security

DEEP LEARNING APPROACHES TO CLOUD SECURITY Covering one of the most important subjects to our society today, cloud security, this editorial team delves into solutions taken from evolving deep learning approaches, solutions allowing computers to learn from experience and understand the world in terms of a hierarchy of concepts, with each concept defined through its relation to simpler concepts. Deep learning is the fastest growing field in computer science. Deep learning algorithms and techniques are found to be useful in

Deep Learning Techniques for Music Generation

Deep Learning Techniques for Music Generation
  • Author : Jean-Pierre Briot,Gaëtan Hadjeres,François-David Pachet
  • Publisher : Springer
  • Release Date : 2019-11-08
  • ISBN : 9783319701639
GET THIS BOOKDeep Learning Techniques for Music Generation

This book is a survey and analysis of how deep learning can be used to generate musical content. The authors offer a comprehensive presentation of the foundations of deep learning techniques for music generation. They also develop a conceptual framework used to classify and analyze various types of architecture, encoding models, generation strategies, and ways to control the generation. The five dimensions of this framework are: objective (the kind of musical content to be generated, e.g., melody, accompaniment); representation (

Explainable AI: Interpreting, Explaining and Visualizing Deep Learning

Explainable AI: Interpreting, Explaining and Visualizing Deep Learning
  • Author : Wojciech Samek,Grégoire Montavon,Andrea Vedaldi,Lars Kai Hansen,Klaus-Robert Müller
  • Publisher : Springer Nature
  • Release Date : 2019-09-10
  • ISBN : 9783030289546
GET THIS BOOKExplainable AI: Interpreting, Explaining and Visualizing Deep Learning

The development of “intelligent” systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting factor for a broader adoption of AI technology is the inherent risks that come with giving up human control and oversight to “intelligent” machines. For sensitive tasks involving critical infrastructures and affecting human well-being or health, it is crucial to limit the possibility of improper, non-robust and unsafe decisions and actions. Before deploying an AI system, we see