Deep learning essentials :: your hands-on guide to the fundamentals of deep learning and neural network modeling /
Get to grips with the essentials of deep learning by leveraging the power of Python About This Book Your one-stop solution to get started with the essentials of deep learning and neural network modeling Train different kinds of neural networks to tackle various problems in Natural Language Processin...
Gespeichert in:
Hauptverfasser: | , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Birmingham, UK :
Packt Publishing,
2018.
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Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | Get to grips with the essentials of deep learning by leveraging the power of Python About This Book Your one-stop solution to get started with the essentials of deep learning and neural network modeling Train different kinds of neural networks to tackle various problems in Natural Language Processing, computer vision, speech recognition, and more Covers popular Python libraries such as Tensorflow, Keras, and more, along with tips on training, deploying and optimizing your deep learning models in the best possible manner Who This Book Is For Aspiring data scientists and machine learning experts who have limited or no exposure to deep learning will find this book to be very useful. If you are looking for a resource that gets you up and running with the fundamentals of deep learning and neural networks, this book is for you. As the models in the book are trained using the popular Python-based libraries such as Tensorflow and Keras, it would be useful to have sound programming knowledge of Python. What You Will Learn Get to grips with the core concepts of deep learning and neural networks Set up deep learning library such as TensorFlow Fine-tune your deep learning models for NLP and Computer Vision applications Unify different information sources, such as images, text, and speech through deep learning Optimize and fine-tune your deep learning models for better performance Train a deep reinforcement learning model that plays a game better than humans Learn how to make your models get the best out of your GPU or CPU In Detail Deep Learning a trending topic in the field of Artificial Intelligence today and can be considered to be an advanced form of machine learning, which is quite tricky to master. This book will help you take your first steps in training efficient deep learning models and applying them in various practical scenarios. You will model, train, and deploy different kinds of neural networks such as Convolutional Neural Network, Recurrent Neural Network, and will see some of their applications in real-world domains including computer vision, natural language processing, speech recognition, and so on. You will build practical projects such as chatbots, implement reinforcement learning to build smart games, and develop expert systems for image captioning and processing. Popular Python library such as TensorFlow is used in this book to build the models. This book also covers solutions for different problems you might come across while traini... |
Beschreibung: | 1 online resource (1 volume) : illustrations |
ISBN: | 9781785887772 1785887777 1785880365 9781785880360 |
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spelling | Di, Wei, author. Deep learning essentials : your hands-on guide to the fundamentals of deep learning and neural network modeling / Wei Di, Anurag Bhardwaj, Jianing Wei. Birmingham, UK : Packt Publishing, 2018. 1 online resource (1 volume) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier data file Online resource; title from title page (Safari, viewed February 22, 2018). Table of Contents Why Deep Learning? Getting Yourself ready for deep learning Getting started with Neural Networks Deep learning in Computer Vision Natural language processing -- vector representation Advanced Natural language processing Multi-modality Reinforcement Learning Deep Learning Hacks Deep Learning Trends. Get to grips with the essentials of deep learning by leveraging the power of Python About This Book Your one-stop solution to get started with the essentials of deep learning and neural network modeling Train different kinds of neural networks to tackle various problems in Natural Language Processing, computer vision, speech recognition, and more Covers popular Python libraries such as Tensorflow, Keras, and more, along with tips on training, deploying and optimizing your deep learning models in the best possible manner Who This Book Is For Aspiring data scientists and machine learning experts who have limited or no exposure to deep learning will find this book to be very useful. If you are looking for a resource that gets you up and running with the fundamentals of deep learning and neural networks, this book is for you. As the models in the book are trained using the popular Python-based libraries such as Tensorflow and Keras, it would be useful to have sound programming knowledge of Python. What You Will Learn Get to grips with the core concepts of deep learning and neural networks Set up deep learning library such as TensorFlow Fine-tune your deep learning models for NLP and Computer Vision applications Unify different information sources, such as images, text, and speech through deep learning Optimize and fine-tune your deep learning models for better performance Train a deep reinforcement learning model that plays a game better than humans Learn how to make your models get the best out of your GPU or CPU In Detail Deep Learning a trending topic in the field of Artificial Intelligence today and can be considered to be an advanced form of machine learning, which is quite tricky to master. This book will help you take your first steps in training efficient deep learning models and applying them in various practical scenarios. You will model, train, and deploy different kinds of neural networks such as Convolutional Neural Network, Recurrent Neural Network, and will see some of their applications in real-world domains including computer vision, natural language processing, speech recognition, and so on. You will build practical projects such as chatbots, implement reinforcement learning to build smart games, and develop expert systems for image captioning and processing. Popular Python library such as TensorFlow is used in this book to build the models. This book also covers solutions for different problems you might come across while traini... Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Neural Networks, Computer https://id.nlm.nih.gov/mesh/D016571 Intelligence artificielle. Réseaux neuronaux (Informatique) artificial intelligence. aat Artificial intelligence. bicssc Natural language & machine translation. bicssc Neural networks & fuzzy systems. bicssc COMPUTERS General. bisacsh Artificial intelligence fast Neural networks (Computer science) fast Bhardwaj, Anurag, author. Wei, Jianing, author. FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1703794 Volltext |
spellingShingle | Di, Wei Bhardwaj, Anurag Wei, Jianing Deep learning essentials : your hands-on guide to the fundamentals of deep learning and neural network modeling / Table of Contents Why Deep Learning? Getting Yourself ready for deep learning Getting started with Neural Networks Deep learning in Computer Vision Natural language processing -- vector representation Advanced Natural language processing Multi-modality Reinforcement Learning Deep Learning Hacks Deep Learning Trends. Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Neural Networks, Computer https://id.nlm.nih.gov/mesh/D016571 Intelligence artificielle. Réseaux neuronaux (Informatique) artificial intelligence. aat Artificial intelligence. bicssc Natural language & machine translation. bicssc Neural networks & fuzzy systems. bicssc COMPUTERS General. bisacsh Artificial intelligence fast Neural networks (Computer science) fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh85008180 http://id.loc.gov/authorities/subjects/sh90001937 https://id.nlm.nih.gov/mesh/D001185 https://id.nlm.nih.gov/mesh/D016571 |
title | Deep learning essentials : your hands-on guide to the fundamentals of deep learning and neural network modeling / |
title_auth | Deep learning essentials : your hands-on guide to the fundamentals of deep learning and neural network modeling / |
title_exact_search | Deep learning essentials : your hands-on guide to the fundamentals of deep learning and neural network modeling / |
title_full | Deep learning essentials : your hands-on guide to the fundamentals of deep learning and neural network modeling / Wei Di, Anurag Bhardwaj, Jianing Wei. |
title_fullStr | Deep learning essentials : your hands-on guide to the fundamentals of deep learning and neural network modeling / Wei Di, Anurag Bhardwaj, Jianing Wei. |
title_full_unstemmed | Deep learning essentials : your hands-on guide to the fundamentals of deep learning and neural network modeling / Wei Di, Anurag Bhardwaj, Jianing Wei. |
title_short | Deep learning essentials : |
title_sort | deep learning essentials your hands on guide to the fundamentals of deep learning and neural network modeling |
title_sub | your hands-on guide to the fundamentals of deep learning and neural network modeling / |
topic | Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Neural networks (Computer science) http://id.loc.gov/authorities/subjects/sh90001937 Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Neural Networks, Computer https://id.nlm.nih.gov/mesh/D016571 Intelligence artificielle. Réseaux neuronaux (Informatique) artificial intelligence. aat Artificial intelligence. bicssc Natural language & machine translation. bicssc Neural networks & fuzzy systems. bicssc COMPUTERS General. bisacsh Artificial intelligence fast Neural networks (Computer science) fast |
topic_facet | Artificial intelligence. Neural networks (Computer science) Artificial Intelligence Neural Networks, Computer Intelligence artificielle. Réseaux neuronaux (Informatique) artificial intelligence. Natural language & machine translation. Neural networks & fuzzy systems. COMPUTERS General. Artificial intelligence |
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