Keras 2.x Projects: 9 projects demonstrating faster experimentation of neural network and deep learning applications using Keras
Author:   Giuseppe Ciaburro
Publisher:   Packt Publishing Limited
ISBN:  

9781789536645


Pages:   394
Publication Date:   31 December 2018
Format:   Paperback
Availability:   Available To Order   Availability explained
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Keras 2.x Projects: 9 projects demonstrating faster experimentation of neural network and deep learning applications using Keras


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Author:   Giuseppe Ciaburro
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781789536645


ISBN 10:   1789536642
Pages:   394
Publication Date:   31 December 2018
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents Getting Started With Keras Modeling Real Estate Market Using Regression Analysis Heart Disease Classification With A Neural Network Concrete Quality Prediction Using Deep Neural Network Fashion Articles Recognition By A Convolutional Neural Network Movie Reviews Sentiment Analysis Using Recurrent Neural Network Stock Volatility Forecasting Using Long Short-Term Memory Reconstruction Of Handwritten Digit Images Using Autoencoder Robot control system using Deep Reinforcement Learning Reuters newswire topics classifier in Keras What is next?

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Author Information

Giuseppe Ciaburro holds a PhD in environmental technical physics and two master's degrees. His research was focused on machine learning applications in the study of urban sound environments. He works at Built Environment Control Laboratory—Università degli Studi della Campania Luigi Vanvitelli (Italy). He has over 15 years of professional experience in programming (Python, R, and MATLAB), first in the field of combustion and then in acoustics and noise control. He has several publications to his credit.

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