Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems
bInsightful projects to master deep learning and neural network architectures using Python and Keras/b h4Key Features/h4 ulliExplore deep learning across computer vision, natural language processing (NLP), and image processing /li liDiscover best practices for the training of deep neural networks an...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing Limited
2018
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| Ausgabe: | 1 |
| Schlagworte: | |
| Zusammenfassung: | bInsightful projects to master deep learning and neural network architectures using Python and Keras/b h4Key Features/h4 ulliExplore deep learning across computer vision, natural language processing (NLP), and image processing /li liDiscover best practices for the training of deep neural networks and their deployment /li liAccess popular deep learning models as well as widely used neural network architectures /li /ul h4Book Description/h4 Deep learning has been gradually revolutionizing every field of artificial intelligence, making application development easier. Python Deep Learning Projects imparts all the knowledge needed to implement complex deep learning projects in the field of computational linguistics and computer vision. Each of these projects is unique, helping you progressively master the subject. You'll learn how to implement a text classifier system using a recurrent neural network (RNN) model and optimize it to understand the shortcomings you might experience while implementing a simple deep learning system. Similarly, you'll discover how to develop various projects, including word vector representation, open domain question answering, and building chatbots using seq-to-seq models and language modeling. In addition to this, you'll cover advanced concepts, such as regularization, gradient clipping, gradient normalization, and bidirectional RNNs, through a series of engaging projects. By the end of this book, you will have gained knowledge to develop your own deep learning systems in a straightforward way and in an efficient way h4What you will learn/h4 ulliSet up a deep learning development environment on Amazon Web Services (AWS) /li liApply GPU-powered instances as well as the deep learning AMI /li liImplement seq-to-seq networks for modeling natural language processing (NLP) /li liDevelop an end-to-end speech recognition system /li liBuild a system for pixel-wise semantic labeling of an image /li liCreate a system that generates images and their regions/li/ul h4Who this book is for/h4 Python Deep Learning Projects is for you if you want to get insights into deep learning, data science, and artificial intelligence. This book is also for those who want to break into deep learning and develop their own AI projects. It is assumed that you have sound knowledge of Python programming |
| Beschreibung: | 1 Online-Ressource (472 Seiten) |
| ISBN: | 9781789134759 |
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| 520 | |a bInsightful projects to master deep learning and neural network architectures using Python and Keras/b h4Key Features/h4 ulliExplore deep learning across computer vision, natural language processing (NLP), and image processing /li liDiscover best practices for the training of deep neural networks and their deployment /li liAccess popular deep learning models as well as widely used neural network architectures /li /ul h4Book Description/h4 Deep learning has been gradually revolutionizing every field of artificial intelligence, making application development easier. Python Deep Learning Projects imparts all the knowledge needed to implement complex deep learning projects in the field of computational linguistics and computer vision. Each of these projects is unique, helping you progressively master the subject. | ||
| 520 | |a You'll learn how to implement a text classifier system using a recurrent neural network (RNN) model and optimize it to understand the shortcomings you might experience while implementing a simple deep learning system. Similarly, you'll discover how to develop various projects, including word vector representation, open domain question answering, and building chatbots using seq-to-seq models and language modeling. In addition to this, you'll cover advanced concepts, such as regularization, gradient clipping, gradient normalization, and bidirectional RNNs, through a series of engaging projects. | ||
| 520 | |a By the end of this book, you will have gained knowledge to develop your own deep learning systems in a straightforward way and in an efficient way h4What you will learn/h4 ulliSet up a deep learning development environment on Amazon Web Services (AWS) /li liApply GPU-powered instances as well as the deep learning AMI /li liImplement seq-to-seq networks for modeling natural language processing (NLP) /li liDevelop an end-to-end speech recognition system /li liBuild a system for pixel-wise semantic labeling of an image /li liCreate a system that generates images and their regions/li/ul h4Who this book is for/h4 Python Deep Learning Projects is for you if you want to get insights into deep learning, data science, and artificial intelligence. This book is also for those who want to break into deep learning and develop their own AI projects. It is assumed that you have sound knowledge of Python programming | ||
| 650 | 4 | |a COMPUTERS / Machine Theory | |
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| spelling | Lamons, Matthew Verfasser aut Python Deep Learning Projects 9 projects demystifying neural network and deep learning models for building intelligent systems Lamons, Matthew 1 Birmingham Packt Publishing Limited 2018 1 Online-Ressource (472 Seiten) txt rdacontent c rdamedia cr rdacarrier bInsightful projects to master deep learning and neural network architectures using Python and Keras/b h4Key Features/h4 ulliExplore deep learning across computer vision, natural language processing (NLP), and image processing /li liDiscover best practices for the training of deep neural networks and their deployment /li liAccess popular deep learning models as well as widely used neural network architectures /li /ul h4Book Description/h4 Deep learning has been gradually revolutionizing every field of artificial intelligence, making application development easier. Python Deep Learning Projects imparts all the knowledge needed to implement complex deep learning projects in the field of computational linguistics and computer vision. Each of these projects is unique, helping you progressively master the subject. You'll learn how to implement a text classifier system using a recurrent neural network (RNN) model and optimize it to understand the shortcomings you might experience while implementing a simple deep learning system. Similarly, you'll discover how to develop various projects, including word vector representation, open domain question answering, and building chatbots using seq-to-seq models and language modeling. In addition to this, you'll cover advanced concepts, such as regularization, gradient clipping, gradient normalization, and bidirectional RNNs, through a series of engaging projects. By the end of this book, you will have gained knowledge to develop your own deep learning systems in a straightforward way and in an efficient way h4What you will learn/h4 ulliSet up a deep learning development environment on Amazon Web Services (AWS) /li liApply GPU-powered instances as well as the deep learning AMI /li liImplement seq-to-seq networks for modeling natural language processing (NLP) /li liDevelop an end-to-end speech recognition system /li liBuild a system for pixel-wise semantic labeling of an image /li liCreate a system that generates images and their regions/li/ul h4Who this book is for/h4 Python Deep Learning Projects is for you if you want to get insights into deep learning, data science, and artificial intelligence. This book is also for those who want to break into deep learning and develop their own AI projects. It is assumed that you have sound knowledge of Python programming COMPUTERS / Machine Theory COMPUTERS / Neural Networks Kumar, Rahul Sonstige oth Nagaraja, Abhishek Sonstige oth |
| spellingShingle | Lamons, Matthew Python Deep Learning Projects 9 projects demystifying neural network and deep learning models for building intelligent systems COMPUTERS / Machine Theory COMPUTERS / Neural Networks |
| title | Python Deep Learning Projects 9 projects demystifying neural network and deep learning models for building intelligent systems |
| title_auth | Python Deep Learning Projects 9 projects demystifying neural network and deep learning models for building intelligent systems |
| title_exact_search | Python Deep Learning Projects 9 projects demystifying neural network and deep learning models for building intelligent systems |
| title_exact_search_txtP | Python Deep Learning Projects 9 projects demystifying neural network and deep learning models for building intelligent systems |
| title_full | Python Deep Learning Projects 9 projects demystifying neural network and deep learning models for building intelligent systems Lamons, Matthew |
| title_fullStr | Python Deep Learning Projects 9 projects demystifying neural network and deep learning models for building intelligent systems Lamons, Matthew |
| title_full_unstemmed | Python Deep Learning Projects 9 projects demystifying neural network and deep learning models for building intelligent systems Lamons, Matthew |
| title_short | Python Deep Learning Projects |
| title_sort | python deep learning projects 9 projects demystifying neural network and deep learning models for building intelligent systems |
| title_sub | 9 projects demystifying neural network and deep learning models for building intelligent systems |
| topic | COMPUTERS / Machine Theory COMPUTERS / Neural Networks |
| topic_facet | COMPUTERS / Machine Theory COMPUTERS / Neural Networks |
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