Bernardete Ribeiro – författare & böcker

Introduction to Deep Learning Business Applications for Developers

From Conversational Bots in Customer Service to Medical Image Processing

Häftad, Engelska, 2018

345 kr

Skickas inom 10-15 vardagar

Discover the potential applications, challenges, and opportunities of deep learning from a business perspective with technical examples. These applications include image recognition, segmentation and annotation, video processing and annotation, voice recognition, intelligent personal assistants, automated translation, and autonomous vehicles. An Introduction to Deep Learning Business Applications for Developers covers some common DL algorithms such as content-based recommendation algorithms and natural language processing. You’ll explore examples, such as video prediction with fully convolutional neural networks (FCNN) and residual neural networks (ResNets). You will also see applications of DL for controlling robotics, exploring the DeepQ learning algorithm with Monte Carlo Tree search (used to beat humans in the game of Go), and modeling for financial risk assessment. There will also be mention of the powerful set of algorithms called Generative Adversarial Neural networks (GANs) that can be applied for image colorization, image completion, and style transfer.After reading this book you will have an overview of the exciting field of deep neural networks and an understanding of most of the major applications of deep learning. The book contains some coding examples, tricks, and insights on how to train deep learning models using the Keras framework.What You Will LearnFind out about deep learning and why it is so powerfulWork with the major algorithms available to train deep learning modelsSee the major breakthroughs in terms of applications of deep learning Run simple examples with a selection of deep learning libraries Discover the areas of impact of deep learning in businessWho This Book Is For Data scientists, entrepreneurs, and business developers.

Introduction to Deep Learning Business Applications for Developers

From Conversational Bots in Customer Service to Medical Image Processing

AvBernardete Ribeiro,Armando Vieira

E-bok

Engelska, 2018

441 kr

Läs direkt efter köp

Discover the potential applications, challenges, and opportunities of deep learning from a business perspective with technical examples. These applications include image recognition, segmentation and annotation, video processing and annotation, voice recognition, intelligent personal assistants, automated translation, and autonomous vehicles. An Introduction to Deep Learning Business Applications for Developers covers some common DL algorithms such as content-based recommendation algorithms and natural language processing. You’ll explore examples, such as video prediction with fully convolutional neural networks (FCNN) and residual neural networks (ResNets). You will also see applications of DL for controlling robotics, exploring the DeepQ learning algorithm with Monte Carlo Tree search (used to beat humans in the game of Go), and modeling for financial risk assessment. There will also be mention of the powerful set of algorithms called Generative Adversarial Neural networks (GANs) that can be applied for image colorization, image completion, and style transfer.After reading this book you will have an overview of the exciting field of deep neural networks and an understanding of most of the major applications of deep learning. The book contains some coding examples, tricks, and insights on how to train deep learning models using the Keras framework.What You Will LearnFind out about deep learning and why it is so powerfulWork with the major algorithms available to train deep learning modelsSee the major breakthroughs in terms of applications of deep learning Run simple examples with a selection of deep learning libraries Discover the areas of impact of deep learning in businessWho This Book Is For Data scientists, entrepreneurs, and business developers.

Del 11868 - Lecture Notes in Computer Science

Pattern Recognition and Image Analysis

9th Iberian Conference, IbPRIA 2019, Madrid, Spain, July 1–4, 2019, Proceedings, Part II

AvAythami Morales,Julian Fierrezm. fl.

Häftad, Engelska, 2019

923 kr

Skickas inom 10-15 vardagar

This 2-volume set constitutes the refereed proceedings of the 9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019, held in Madrid, Spain, in July 2019.The 99 papers in these volumes were carefully reviewed and selected from 137 submissions. They are organized in topical sections named:Part I: best ranked papers; machine learning; pattern recognition; image processing and representation.Part II: biometrics; handwriting and document analysis; other applications.

Pattern Recognition and Image Analysis

9th Iberian Conference, IbPRIA 2019, Madrid, Spain, July 1–4, 2019, Proceedings, Part II

AvBernardete Ribeiro,Jose Salvador Sanchezm. fl.

E-bok

Engelska, 2019

1 111 kr

Läs direkt efter köp

This 2-volume set constitutes the refereed proceedings of the 9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019, held in Madrid, Spain, in July 2019.

The 99 papers in these volumes were carefully reviewed and selected from 137 submissions. They are organized in topical sections named:

Part I: best ranked papers; machine learning; pattern recognition; image processing and representation.

Part II: biometrics; handwriting and document analysis; other applications.

Del 11867 - Lecture Notes in Computer Science

Pattern Recognition and Image Analysis

9th Iberian Conference, IbPRIA 2019, Madrid, Spain, July 1–4, 2019, Proceedings, Part I

AvAythami Morales,Julian Fierrezm. fl.

Häftad, Engelska, 2019

566 kr

Skickas inom 10-15 vardagar

This 2-volume set constitutes the refereed proceedings of the 9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019, held in Madrid, Spain, in July 2019.The 99 papers in these volumes were carefully reviewed and selected from 137 submissions. They are organized in topical sections named: Part I: best ranked papers; machine learning; pattern recognition; image processing and representation.Part II: biometrics; handwriting and document analysis; other applications.

Pattern Recognition and Image Analysis

9th Iberian Conference, IbPRIA 2019, Madrid, Spain, July 1–4, 2019, Proceedings, Part I

AvBernardete Ribeiro,Jose Salvador Sanchezm. fl.

E-bok

Engelska, 2019

708 kr

Läs direkt efter köp

This 2-volume set constitutes the refereed proceedings of the 9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019, held in Madrid, Spain, in July 2019.

The 99 papers in these volumes were carefully reviewed and selected from 137 submissions. They are organized in topical sections named:

Part I: best ranked papers; machine learning; pattern recognition; image processing and representation.

Part II: biometrics; handwriting and document analysis; other applications.

Del 13566 - Lecture Notes in Computer Science

Progress in Artificial Intelligence

21st EPIA Conference on Artificial Intelligence, EPIA 2022, Lisbon, Portugal, August 31–September 2, 2022, Proceedings

AvGoreti Marreiros,Bruno Martinsm. fl.

Häftad, Engelska, 2022

565 kr

Skickas inom 10-15 vardagar

This book constitutes the proceedings of the 21st EPIA Conference on Artificial Intelligence, EPIA 2022, which took place in Lisbon, Portugal, in August/September 2022. The 64 papers presented in this volume were carefully reviewed and selected from 85 submissions. They were organized in topical sections as follows: AI4IS - Artificial Intelligence for Industry and Societies; AIL - Artificial Intelligence and Law; AIM - Artificial Intelligence in Medicine; AIPES - Artificial Intelligence in Power and Energy Systems; AITS - Artificial Intelligence in Transportation Systems; AmIA - Ambient Intelligence and Affective Environments; GAI - General AI; IROBOT - Intelligent Robotics; KDBI - Knowledge Discovery and Business Intelligence; KRR - Knowledge Representation and Reasoning; MASTA - Multi-Agent Systems: Theory and Applications; TeMA - Text Mining and Applications.

Progress in Artificial Intelligence

21st EPIA Conference on Artificial Intelligence, EPIA 2022, Lisbon, Portugal, August 31–September 2, 2022, Proceedings

AvAlberto Sardinha,Bernardete Ribeirom. fl.

E-bok

Engelska, 2022

708 kr

Läs direkt efter köp

This book constitutes the proceedings of the 21st EPIA Conference on Artificial Intelligence, EPIA 2022, which took place in Lisbon, Portugal, in August/September 2022. The 64 papers presented in this volume were carefully reviewed and selected from 85 submissions. They were organized in topical sections as follows: AI4IS - Artificial Intelligence for Industry and Societies; AIL - Artificial Intelligence and Law; AIM - Artificial Intelligence in Medicine; AIPES - Artificial Intelligence in Power and Energy Systems; AITS - Artificial Intelligence in Transportation Systems; AmIA - Ambient Intelligence and Affective Environments; GAI - General AI; IROBOT - Intelligent Robotics; KDBI - Knowledge Discovery and Business Intelligence; KRR - Knowledge Representation and Reasoning; MASTA - Multi-Agent Systems: Theory and Applications; TeMA - Text Mining and Applications.

Del 7 - Studies in Big Data

Machine Learning for Adaptive Many-Core Machines - A Practical Approach

AvNoel Lopes,Bernardete Ribeiro

Inbunden, Engelska, 2014

1 122 kr

Skickas inom 10-15 vardagar

The overwhelming data produced everyday and the increasing performance and cost requirements of applications are transversal to a wide range of activities in society, from science to industry. In particular, the magnitude and complexity of the tasks that Machine Learning (ML) algorithms have to solve are driving the need to devise adaptive many-core machines that scale well with the volume of data, or in other words, can handle Big Data.This book gives a concise view on how to extend the applicability of well-known ML algorithms in Graphics Processing Unit (GPU) with data scalability in mind. It presents a series of new techniques to enhance, scale and distribute data in a Big Learning framework. It is not intended to be a comprehensive survey of the state of the art of the whole field of machine learning for Big Data. Its purpose is less ambitious and more practical: to explain and illustrate existing and novel GPU-based ML algorithms, not viewed as a universal solution for the Big Data challenges but rather as part of the answer, which may require the use of different strategies coupled together.

Machine Learning for Adaptive Many-Core Machines - A Practical Approach

AvBernardete Ribeiro,Noel Lopes

E-bok

PDF, Engelska, 2014

1 408 kr

Läs direkt efter köp

The overwhelming data produced everyday and the increasing performance and cost requirements of applications are transversal to a wide range of activities in society, from science to industry. In particular, the magnitude and complexity of the tasks that Machine Learning (ML) algorithms have to solve are driving the need to devise adaptive many-core machines that scale well with the volume of data, or in other words, can handle Big Data.

This book gives a concise view on how to extend the applicability of well-known ML algorithms in Graphics Processing Unit (GPU) with data scalability in mind. It presents a series of new techniques to enhance, scale and distribute data in a Big Learning framework. It is not intended to be a comprehensive survey of the state of the art of the whole field of machine learning for Big Data. Its purpose is less ambitious and more practical: to explain and illustrate existing and novel GPU-based ML algorithms, not viewed as a universal solution for the Big Data challenges but rather as part of the answer, which may require the use of different strategies coupled together.

Del 7 - Studies in Big Data

Machine Learning for Adaptive Many-Core Machines - A Practical Approach

AvNoel Lopes,Bernardete Ribeiro

Häftad, Engelska, 2016

1 122 kr

Skickas inom 10-15 vardagar

The overwhelming data produced everyday and the increasing performance and cost requirements of applications are transversal to a wide range of activities in society, from science to industry. In particular, the magnitude and complexity of the tasks that Machine Learning (ML) algorithms have to solve are driving the need to devise adaptive many-core machines that scale well with the volume of data, or in other words, can handle Big Data.This book gives a concise view on how to extend the applicability of well-known ML algorithms in Graphics Processing Unit (GPU) with data scalability in mind. It presents a series of new techniques to enhance, scale and distribute data in a Big Learning framework. It is not intended to be a comprehensive survey of the state of the art of the whole field of machine learning for Big Data. Its purpose is less ambitious and more practical: to explain and illustrate existing and novel GPU-based ML algorithms, not viewed as a universal solution for the Big Data challenges but rather as part of the answer, which may require the use of different strategies coupled together.

Aprendizagem Computacional em Engenharia

AvBernardete Ribeiro,Catarina Silva

Häftad, Portugisiska

322 kr

Skickas inom 3-6 vardagar

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Bernardete Ribeiro – författare

Introduction to Deep Learning Business Applications for Developers

Introduction to Deep Learning Business Applications for Developers

Pattern Recognition and Image Analysis

Pattern Recognition and Image Analysis

Pattern Recognition and Image Analysis

Pattern Recognition and Image Analysis

Progress in Artificial Intelligence

Progress in Artificial Intelligence

Machine Learning for Adaptive Many-Core Machines - A Practical Approach

Machine Learning for Adaptive Many-Core Machines - A Practical Approach

Machine Learning for Adaptive Many-Core Machines - A Practical Approach

Aprendizagem Computacional em Engenharia

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