Articles liés à Python Deep Learning - Second Edition: Exploring deep...

Python Deep Learning - Second Edition: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition - Couverture souple

 
9781789348460: Python Deep Learning - Second Edition: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition

Synopsis

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 and future market demands. With this book, you'll explore deep learning, and learn how to put machine learning to use in your projects.

This second edition of Python Deep Learning will get you up to speed with deep learning, deep neural networks, and how to train them with high-performance algorithms and popular Python frameworks. You'll uncover different neural network architectures, such as convolutional networks, recurrent neural networks, long short-term memory (LSTM) networks, and capsule networks. You'll also learn how to solve problems in the fields of computer vision, natural language processing (NLP), and speech recognition. You'll study generative model approaches such as variational autoencoders and Generative Adversarial Networks (GANs) to generate images. As you delve into newly evolved areas of reinforcement learning, you'll gain an understanding of state-of-the-art algorithms that are the main components behind popular games Go, Atari, and Dota.

By the end of the book, you will be well-versed with the theory of deep learning along with its real-world applications.

What you will learn

- Grasp the mathematical theory behind neural networks and deep learning processes

- Investigate and resolve computer vision challenges using convolutional networks and capsule networks

- Solve generative tasks using variational autoencoders and Generative Adversarial Networks

- Implement complex NLP tasks using recurrent networks (LSTM and GRU) and attention models

- Explore reinforcement learning and understand how agents behave in a complex environment

- Get up to date with applications of deep learning in autonomous vehicles

Who this book is for

This book is for data science practitioners, machine learning engineers, and those interested in deep learning who have a basic foundation in machine learning and some Python programming experience. A background in mathematics and conceptual understanding of calculus and statistics will help you gain maximum benefit from this book.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos des auteurs

Ivan Vasilev started working on the first open source Java Deep Learning library with GPU support in 2013. The library was acquired by a German company, where he continued its development. He has also worked as a machine learning engineer and researcher in the area of medical image classification and segmentation with deep neural networks. Since 2017 he has focused on financial machine learning. He is working on a Python open source algorithmic trading library, which provides the infrastructure to experiment with different ML algorithms. The author holds an MSc degree in Artificial Intelligence from The University of Sofia, St. Kliment Ohridski.

Daniel Slater started programming at age 11, developing mods for the id Software game Quake. His obsession led him to become a developer working in the gaming industry on the hit computer game series Championship Manager. He then moved into finance, working on risk- and high-performance messaging systems. He now is a staff engineer working on big data at Skimlinks to understand online user behavior. He spends his spare time training AI to beat computer games. He talks at tech conferences about deep learning and reinforcement learning; and the name of his blog is Daniel Slater's blog. His work in this field has been cited by Google.

Gianmario Spacagna is a senior data scientist at Pirelli, processing sensors and telemetry data for internet of things (IoT) and connected-vehicle applications. He works closely with tire mechanics, engineers, and business units to analyze and formulate hybrid, physics-driven, and data-driven automotive models. His main expertise is in building ML systems and end-to-end solutions for data products. He holds a master's degree in telematics from the Polytechnic of Turin, as well as one in software engineering of distributed systems from KTH, Stockholm. Prior to Pirelli, he worked in retail and business banking (Barclays), cyber security (Cisco), predictive marketing (AgilOne), and did some occasional freelancing.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

  • ÉditeurPackt Publishing
  • Date d'édition2019
  • ISBN 10 1789348463
  • ISBN 13 9781789348460
  • ReliureBroché
  • Langueanglais
  • Numéro d'édition2
  • Nombre de pages386
  • Coordonnées du fabricantnon disponible

Acheter D'occasion

état :  Assez bon
Gut/Very good: Buch bzw. Schutzumschlag...
Afficher cet article
EUR 27,82

Autre devise

EUR 2,50 expédition depuis Allemagne vers France

Destinations, frais et délais

Acheter neuf

Afficher cet article
EUR 59,07

Autre devise

EUR 6,95 expédition depuis Etats-Unis vers France

Destinations, frais et délais

Résultats de recherche pour Python Deep Learning - Second Edition: Exploring deep...

Image d'archives

Vasilev, Ivan, Slater, Daniel
Edité par Packt Publishing, 2019
ISBN 10 : 1789348463 ISBN 13 : 9781789348460
Ancien ou d'occasion Couverture souple

Vendeur : medimops, Berlin, Allemagne

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Etat : very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages. N° de réf. du vendeur M01789348463-V

Contacter le vendeur

Acheter D'occasion

EUR 27,82
Autre devise
Frais de port : EUR 2,50
De Allemagne vers France
Destinations, frais et délais

Quantité disponible : 1 disponible(s)

Ajouter au panier

Image d'archives

Ivan Vasilev; Daniel Slater; Gianmario Spacagna; Peter Roelants; Valentino Zocca
Edité par Packt Publishing, 2019
ISBN 10 : 1789348463 ISBN 13 : 9781789348460
Neuf Couverture souple

Vendeur : California Books, Miami, FL, Etats-Unis

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Etat : New. N° de réf. du vendeur I-9781789348460

Contacter le vendeur

Acheter neuf

EUR 59,07
Autre devise
Frais de port : EUR 6,95
De Etats-Unis vers France
Destinations, frais et délais

Quantité disponible : Plus de 20 disponibles

Ajouter au panier

Image d'archives

Ivan Vasilev; Daniel Slater; Gianmario Spacagna; Peter Roelants; Valentino Zocca
Edité par Packt Publishing, 2019
ISBN 10 : 1789348463 ISBN 13 : 9781789348460
Neuf Couverture souple

Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Etat : New. In. N° de réf. du vendeur ria9781789348460_new

Contacter le vendeur

Acheter neuf

EUR 61,70
Autre devise
Frais de port : EUR 4,70
De Royaume-Uni vers France
Destinations, frais et délais

Quantité disponible : Plus de 20 disponibles

Ajouter au panier

Image d'archives

Ivan Vasilev
Edité par Packt Publishing Limited, 2019
ISBN 10 : 1789348463 ISBN 13 : 9781789348460
Neuf PAP
impression à la demande

Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur IQ-9781789348460

Contacter le vendeur

Acheter neuf

EUR 66,80
Autre devise
Frais de port : EUR 0,17
De Etats-Unis vers France
Destinations, frais et délais

Quantité disponible : 15 disponible(s)

Ajouter au panier

Image d'archives

Ivan Vasilev
Edité par Packt Publishing Limited, 2019
ISBN 10 : 1789348463 ISBN 13 : 9781789348460
Neuf PAP
impression à la demande

Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni

Évaluation du vendeur 4 sur 5 étoiles Evaluation 4 étoiles, En savoir plus sur les évaluations des vendeurs

PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur IQ-9781789348460

Contacter le vendeur

Acheter neuf

EUR 61,78
Autre devise
Frais de port : EUR 6,09
De Royaume-Uni vers France
Destinations, frais et délais

Quantité disponible : 15 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Vasilev, Ivan
Edité par Packt Publishing 1/14/2019, 2019
ISBN 10 : 1789348463 ISBN 13 : 9781789348460
Neuf Paperback or Softback

Vendeur : BargainBookStores, Grand Rapids, MI, Etats-Unis

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Paperback or Softback. Etat : New. Python Deep Learning - Second Edition: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Ed 1.46. Book. N° de réf. du vendeur BBS-9781789348460

Contacter le vendeur

Acheter neuf

EUR 57,51
Autre devise
Frais de port : EUR 10,86
De Etats-Unis vers France
Destinations, frais et délais

Quantité disponible : 5 disponible(s)

Ajouter au panier

Image d'archives

Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca
Edité par Packt Publishing 2019-01-16, 2019
ISBN 10 : 1789348463 ISBN 13 : 9781789348460
Neuf Paperback

Vendeur : Chiron Media, Wallingford, Royaume-Uni

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Paperback. Etat : New. N° de réf. du vendeur 6666-IUK-9781789348460

Contacter le vendeur

Acheter neuf

EUR 58,24
Autre devise
Frais de port : EUR 11,19
De Royaume-Uni vers France
Destinations, frais et délais

Quantité disponible : 10 disponible(s)

Ajouter au panier

Image d'archives

Ivan Vasilev; Daniel Slater; Gianmario Spacagna; Peter Roelants; Valentino Zocca
Edité par Packt Publishing, 2019
ISBN 10 : 1789348463 ISBN 13 : 9781789348460
Neuf Couverture souple
impression à la demande

Vendeur : Majestic Books, Hounslow, Royaume-Uni

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Etat : New. Print on Demand. N° de réf. du vendeur 370808940

Contacter le vendeur

Acheter neuf

EUR 69,88
Autre devise
Frais de port : EUR 10,43
De Royaume-Uni vers France
Destinations, frais et délais

Quantité disponible : 4 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Vasilev, Ivan|Slater, Daniel|Spacagna, Gianmario
Edité par Packt Publishing, 2019
ISBN 10 : 1789348463 ISBN 13 : 9781789348460
Neuf Couverture souple
impression à la demande

Vendeur : moluna, Greven, Allemagne

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The book will help you learn deep neural networks and their applications in computer vision, generative models, and natural language processing. It will also introduce you to the area of reinforcement learning, where you ll learn the state-of-the-art algori. N° de réf. du vendeur 267049261

Contacter le vendeur

Acheter neuf

EUR 72,83
Autre devise
Frais de port : EUR 9,70
De Allemagne vers France
Destinations, frais et délais

Quantité disponible : Plus de 20 disponibles

Ajouter au panier

Image fournie par le vendeur

Ivan Vasilev
Edité par Packt Publishing, 2019
ISBN 10 : 1789348463 ISBN 13 : 9781789348460
Neuf Taschenbuch
impression à la demande

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Learn advanced state-of-the-art deep learning techniques and their applications using popular Python librariesKey FeaturesBuild a strong foundation in neural networks and deep learning with Python librariesExplore advanced deep learning techniques and their applications across computer vision and NLPLearn how a computer can navigate in complex environments with reinforcement learningBook DescriptionWith the surge in artificial intelligence in applications catering to both business and consumer needs, deep learning is more important than ever for meeting current and future market demands. With this book, you'll explore deep learning, and learn how to put machine learning to use in your projects.This second edition of Python Deep Learning will get you up to speed with deep learning, deep neural networks, and how to train them with high-performance algorithms and popular Python frameworks. You'll uncover different neural network architectures, such as convolutional networks, recurrent neural networks, long short-term memory (LSTM) networks, and capsule networks. You'll also learn how to solve problems in the fields of computer vision, natural language processing (NLP), and speech recognition. You'll study generative model approaches such as variational autoencoders and Generative Adversarial Networks (GANs) to generate images. As you delve into newly evolved areas of reinforcement learning, you'll gain an understanding of state-of-the-art algorithms that are the main components behind popular games Go, Atari, and Dota.By the end of the book, you will be well-versed with the theory of deep learning along with its real-world applications.What you will learnGrasp the mathematical theory behind neural networks and deep learning processesInvestigate and resolve computer vision challenges using convolutional networks and capsule networksSolve generative tasks using variational autoencoders and Generative Adversarial NetworksImplement complex NLP tasks using recurrent networks (LSTM and GRU) and attention modelsExplore reinforcement learning and understand how agents behave in a complex environmentGet up to date with applications of deep learning in autonomous vehiclesWho this book is forThis book is for data science practitioners, machine learning engineers, and those interested in deep learning who have a basic foundation in machine learning and some Python programming experience. A background in mathematics and conceptual understanding of calculus and statistics will help you gain maximum benefit from this book. N° de réf. du vendeur 9781789348460

Contacter le vendeur

Acheter neuf

EUR 84
Autre devise
Frais de port : EUR 10,99
De Allemagne vers France
Destinations, frais et délais

Quantité disponible : 1 disponible(s)

Ajouter au panier

There are 2 autres exemplaires de ce livre sont disponibles

Afficher tous les résultats pour ce livre