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Deep Learning with Keras, Brand New, Free shipping in the US
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N.º de artículo de eBay:384702193309
Última actualización el 09 oct 2024 00:34:22 H.EspVer todas las actualizacionesVer todas las actualizaciones
Características del artículo
- Estado
- Book Title
- Deep Learning with Keras
- ISBN
- 9781787128422
- Publication Year
- 2017
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Subject Area
- Computers
- Publication Name
- Deep Learning with Keras
- Publisher
- Packt Publishing, The Limited
- Subject
- Intelligence (Ai) & Semantics, Neural Networks, Data Processing, Programming Languages / Python
- Number of Pages
- 318 Pages
Acerca de este producto
Product Identifiers
Publisher
Packt Publishing, The Limited
ISBN-10
1787128423
ISBN-13
9781787128422
eBay Product ID (ePID)
237413010
Product Key Features
Subject
Intelligence (Ai) & Semantics, Neural Networks, Data Processing, Programming Languages / Python
Publication Year
2017
Number of Pages
318 Pages
Publication Name
Deep Learning with Keras
Language
English
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Additional Product Features
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
006.32
Synopsis
Get to grips with the basics of Keras to implement fast and efficient deep-learning modelsAbout This Book* Implement various deep-learning algorithms in Keras and see how deep-learning can be used in games* See how various deep-learning models and practical use-cases can be implemented using Keras* A practical, hands-on guide with real-world examples to give you a strong foundation in KerasWho This Book Is ForIf you are a data scientist with experience in machine learning or an AI programmer with some exposure to neural networks, you will find this book a useful entry point to deep-learning with Keras. A knowledge of Python is required for this book.What You Will Learn* Optimize step-by-step functions on a large neural network using the Backpropagation Algorithm* Fine-tune a neural network to improve the quality of results* Use deep learning for image and audio processing* Use Recursive Neural Tensor Networks (RNTNs) to outperform standard word embedding in special cases* Identify problems for which Recurrent Neural Network (RNN) solutions are suitable* Explore the process required to implement Autoencoders* Evolve a deep neural network using reinforcement learningIn DetailThis book starts by introducing you to supervised learning algorithms such as simple linear regression, the classical multilayer perceptron and more sophisticated deep convolutional networks. You will also explore image processing with recognition of hand written digit images, classification of images into different categories, and advanced objects recognition with related image annotations. An example of identification of salient points for face detection is also provided. Next you will be introduced to Recurrent Networks, which are optimized for processing sequence data such as text, audio or time series. Following that, you will learn about unsupervised learning algorithms such as Autoencoders and the very popular Generative Adversarial Networks (GAN). You will also explore non-traditional uses of neural networks as Style Transfer.Finally, you will look at Reinforcement Learning and its application to AI game playing, another popular direction of research and application of neural networks.Style and approachThis book is an easy-to-follow guide full of examples and real-world applications to help you gain an in-depth understanding of Keras. This book will showcase more than twenty working Deep Neural Networks coded in Python using Keras., Publisher's Note: This edition from 2017 is outdated and is not compatible with TensorFlow 2 or any of the most recent updates to Python libraries. A new second edition, updated for 2020 and featuring TensorFlow 2, the Keras API, CNNs, GANs, RNNs, NLP, and AutoML, has now been published. Key Features: Implement various deep learning algorithms in Keras and see how deep learning can be used in games See how various deep learning models and practical use-cases can be implemented using Keras A practical, hands-on guide with real-world examples to give you a strong foundation in Keras Book Description: This book starts by introducing you to supervised learning algorithms such as simple linear regression, the classical multilayer perceptron and more sophisticated deep convolutional networks. You will also explore image processing with recognition of handwritten digit images, classification of images into different categories, and advanced objects recognition with related image annotations. An example of identification of salient points for face detection is also provided. Next you will be introduced to Recurrent Networks, which are optimized for processing sequence data such as text, audio or time series. Following that, you will learn about unsupervised learning algorithms such as Autoencoders and the very popular Generative Adversarial Networks (GANs). You will also explore non-traditional uses of neural networks as Style Transfer. Finally, you will look at reinforcement learning and its application to AI game playing, another popular direction of research and application of neural networks. What You Will Learn: Optimize step-by-step functions on a large neural network using the Backpropagation algorithm Fine-tune a neural network to improve the quality of results Use deep learning for image and audio processing Use Recursive Neural Tensor Networks (RNTNs) to outperform standard word embedding in special cases Identify problems for which Recurrent Neural Network (RNN) solutions are suitable Explore the process required to implement Autoencoders Evolve a deep neural network using reinforcement learning Who this book is for: If you are a data scientist with experience in machine learning or an AI programmer with some exposure to neural networks, you will find this book a useful entry point to deep-learning with Keras. A knowledge of Python is required for this book.
LC Classification Number
QA76.87.G8 2017
Descripción del artículo del vendedor
Información de vendedor profesional
Expert Trading Limited
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- i***y (715)- Votos emitidos por el comprador.Últimos 6 mesesCompra verificada2 volumes of Pogo comic strips, new and in perfect condition. Price was good, but shipping cost ($30 for two books) seems like a lot for how long it took to get delivered (23 days from Illinois to Spain). Also, seller communication was not great. First two times I wrote, their response did not address question. Third response explained at length about the private courier service they use and how it should take 1-10 business days to deliver. Maybe they should consider a different courier service.Pogo the Complete Syndicated Comic Strips Set : Pockets Full of Pie / Hijinks... (#385887908217)
- o***l (318)- Votos emitidos por el comprador.Último añoCompra verificadaThe item was described to a Tee. Very good communication. Shipping was just a little slow. The box the set of books comes in was damaged (bent corners) due to packaging. Not a deal breaker because the grand kids will not store in that box; might be if it were to be given as a present. The three books in the box arrived in prefect shape. I WOULD purchase from greatbookprices1 again in the future. ThanksConstruction Site Board Books Set, Hardcover by Rinker, Sherri Duskey; Lichte... (#364394914625)
- r***_ (109)- Votos emitidos por el comprador.Últimos 6 mesesCompra verificada*Same as the other review* Purchased two box sets from this seller with one being advertised as "like new" but was delivered as if it was actually new. Shipping time was a little slow, takes about 10 days to ship out and it takes a while to get through the system. But the packing was great and I'm still overall happy with my purchase.