Hands-On Deep Learning Architectures with Python :: Create Deep Neural Networks to Solve Computational Problems Using TensorFlow and Keras.
This book explains the essential learning algorithms used for deep and shallow architectures. Packed with practical implementations to help you understand the concepts and ideas required to build efficient artificial intelligence systems, this book will help you construct deep models using popular f...
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1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Birmingham :
Packt Publishing, Limited,
2019.
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Schlagworte: | |
Online-Zugang: | DE-862 DE-863 |
Zusammenfassung: | This book explains the essential learning algorithms used for deep and shallow architectures. Packed with practical implementations to help you understand the concepts and ideas required to build efficient artificial intelligence systems, this book will help you construct deep models using popular frameworks and datasets. |
Beschreibung: | 1 online resource (303 pages) |
ISBN: | 1788990501 9781788990509 |
Internformat
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adam_text | |
any_adam_object | |
author | Liu, Yuxi (Hayden) |
author2 | Mehta, Saransh |
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author_facet | Liu, Yuxi (Hayden) Mehta, Saransh |
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contents | Hands-on deep learning architectures with python: create deep neural networks to solve computational problems using TensorFlow and Keras -- Contributors -- Table of Contents -- Preface -- Section 1: The Elements of Deep Learning -- Chapter 1: Getting Started with Deep Learning -- Chapter 2: Deep Feedforward Networks -- Chapter 3: Restricted Boltzmann Machines and Autoencoders -- Section 2: Convolutional Neural Networks -- Chapter 4: CNN Architecture -- Chapter 5: Mobile Neural Networks and CNNs -- Section 3: Sequence Modeling -- Chapter 6: Recurrent Neural Networks -- Section 4: Generative Adversarial Networks (GANs) -- Chapter 7: Generative Adversarial Networks -- Section 5: The Future of Deep Learning and Advanced Artificial Intelligence -- Chapter 8: New Trends of Deep Learning -- Other Books You May Enjoy -- Index. |
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discipline | Informatik |
format | Electronic eBook |
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id | ZDB-4-EBA-on1101040389 |
illustrated | Not Illustrated |
indexdate | 2025-03-18T14:25:39Z |
institution | BVB |
isbn | 1788990501 9781788990509 |
language | English |
oclc_num | 1101040389 |
open_access_boolean | |
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physical | 1 online resource (303 pages) |
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publisher | Packt Publishing, Limited, |
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spelling | Liu, Yuxi (Hayden) Hands-On Deep Learning Architectures with Python : Create Deep Neural Networks to Solve Computational Problems Using TensorFlow and Keras. Birmingham : Packt Publishing, Limited, 2019. 1 online resource (303 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Print version record. This book explains the essential learning algorithms used for deep and shallow architectures. Packed with practical implementations to help you understand the concepts and ideas required to build efficient artificial intelligence systems, this book will help you construct deep models using popular frameworks and datasets. Hands-on deep learning architectures with python: create deep neural networks to solve computational problems using TensorFlow and Keras -- Contributors -- Table of Contents -- Preface -- Section 1: The Elements of Deep Learning -- Chapter 1: Getting Started with Deep Learning -- Chapter 2: Deep Feedforward Networks -- Chapter 3: Restricted Boltzmann Machines and Autoencoders -- Section 2: Convolutional Neural Networks -- Chapter 4: CNN Architecture -- Chapter 5: Mobile Neural Networks and CNNs -- Section 3: Sequence Modeling -- Chapter 6: Recurrent Neural Networks -- Section 4: Generative Adversarial Networks (GANs) -- Chapter 7: Generative Adversarial Networks -- Section 5: The Future of Deep Learning and Advanced Artificial Intelligence -- Chapter 8: New Trends of Deep Learning -- Other Books You May Enjoy -- Index. Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Neural Networks, Computer https://id.nlm.nih.gov/mesh/D016571 Machine Learning https://id.nlm.nih.gov/mesh/D000069550 Python (Langage de programmation) Apprentissage automatique. Réseaux neuronaux (Informatique) Natural language & machine translation. bicssc Neural networks & fuzzy systems. bicssc Artificial intelligence. bicssc COMPUTER SCIENCE General. bisacsh Machine learning fast Neural networks (Computer science) fast Python (Computer program language) fast Mehta, Saransh. has work: Hands-On Deep Learning Architectures with Python (Text) https://id.oclc.org/worldcat/entity/E39PCYfkRc3qYhq9GBBBBPC6Dq https://id.oclc.org/worldcat/ontology/hasWork Print version: Liu, Yuxi (Hayden). Hands-On Deep Learning Architectures with Python : Create Deep Neural Networks to Solve Computational Problems Using TensorFlow and Keras. Birmingham : Packt Publishing, Limited, ©2019 9781788998086 |
spellingShingle | Liu, Yuxi (Hayden) Hands-On Deep Learning Architectures with Python : Create Deep Neural Networks to Solve Computational Problems Using TensorFlow and Keras. Hands-on deep learning architectures with python: create deep neural networks to solve computational problems using TensorFlow and Keras -- Contributors -- Table of Contents -- Preface -- Section 1: The Elements of Deep Learning -- Chapter 1: Getting Started with Deep Learning -- Chapter 2: Deep Feedforward Networks -- Chapter 3: Restricted Boltzmann Machines and Autoencoders -- Section 2: Convolutional Neural Networks -- Chapter 4: CNN Architecture -- Chapter 5: Mobile Neural Networks and CNNs -- Section 3: Sequence Modeling -- Chapter 6: Recurrent Neural Networks -- Section 4: Generative Adversarial Networks (GANs) -- Chapter 7: Generative Adversarial Networks -- Section 5: The Future of Deep Learning and Advanced Artificial Intelligence -- Chapter 8: New Trends of Deep Learning -- Other Books You May Enjoy -- Index. Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Neural Networks, Computer https://id.nlm.nih.gov/mesh/D016571 Machine Learning https://id.nlm.nih.gov/mesh/D000069550 Python (Langage de programmation) Apprentissage automatique. Réseaux neuronaux (Informatique) Natural language & machine translation. bicssc Neural networks & fuzzy systems. bicssc Artificial intelligence. bicssc COMPUTER SCIENCE General. bisacsh Machine learning fast Neural networks (Computer science) fast Python (Computer program language) fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh96008834 http://id.loc.gov/authorities/subjects/sh85079324 http://id.loc.gov/authorities/subjects/sh90001937 https://id.nlm.nih.gov/mesh/D016571 https://id.nlm.nih.gov/mesh/D000069550 |
title | Hands-On Deep Learning Architectures with Python : Create Deep Neural Networks to Solve Computational Problems Using TensorFlow and Keras. |
title_auth | Hands-On Deep Learning Architectures with Python : Create Deep Neural Networks to Solve Computational Problems Using TensorFlow and Keras. |
title_exact_search | Hands-On Deep Learning Architectures with Python : Create Deep Neural Networks to Solve Computational Problems Using TensorFlow and Keras. |
title_full | Hands-On Deep Learning Architectures with Python : Create Deep Neural Networks to Solve Computational Problems Using TensorFlow and Keras. |
title_fullStr | Hands-On Deep Learning Architectures with Python : Create Deep Neural Networks to Solve Computational Problems Using TensorFlow and Keras. |
title_full_unstemmed | Hands-On Deep Learning Architectures with Python : Create Deep Neural Networks to Solve Computational Problems Using TensorFlow and Keras. |
title_short | Hands-On Deep Learning Architectures with Python : |
title_sort | hands on deep learning architectures with python create deep neural networks to solve computational problems using tensorflow and keras |
title_sub | Create Deep Neural Networks to Solve Computational Problems Using TensorFlow and Keras. |
topic | Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Neural Networks, Computer https://id.nlm.nih.gov/mesh/D016571 Machine Learning https://id.nlm.nih.gov/mesh/D000069550 Python (Langage de programmation) Apprentissage automatique. Réseaux neuronaux (Informatique) Natural language & machine translation. bicssc Neural networks & fuzzy systems. bicssc Artificial intelligence. bicssc COMPUTER SCIENCE General. bisacsh Machine learning fast Neural networks (Computer science) fast Python (Computer program language) fast |
topic_facet | Python (Computer program language) Machine learning. Neural networks (Computer science) Neural Networks, Computer Machine Learning Python (Langage de programmation) Apprentissage automatique. Réseaux neuronaux (Informatique) Natural language & machine translation. Neural networks & fuzzy systems. Artificial intelligence. COMPUTER SCIENCE General. Machine learning |
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