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Keras 2.x Projects

You're reading from   Keras 2.x Projects 9 projects demonstrating faster experimentation of neural network and deep learning applications using Keras

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781789536645
Length 394 pages
Edition 1st Edition
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Author (1):
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Giuseppe Ciaburro Giuseppe Ciaburro
Author Profile Icon Giuseppe Ciaburro
Giuseppe Ciaburro
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Keras FREE CHAPTER 2. Modeling Real Estate Using Regression Analysis 3. Heart Disease Classification with Neural Networks 4. Concrete Quality Prediction Using Deep Neural Networks 5. Fashion Article Recognition Using Convolutional Neural Networks 6. Movie Reviews Sentiment Analysis Using Recurrent Neural Networks 7. Stock Volatility Forecasting Using Long Short-Term Memory 8. Reconstruction of Handwritten Digit Images Using Autoencoders 9. Robot Control System Using Deep Reinforcement Learning 10. Reuters Newswire Topics Classifier in Keras 11. What is Next? 12. Other Books You May Enjoy

The basics of forecasting

Forecasting the data and information related to the evolution of variables is of crucial importance for the setting of plans for the policies of any activity. For example, to plan the production of a company, it is not enough to know that the demand for products or services is increasing or decreasing, but it is essential to predict the trend of future demand for products, prices, and raw material costs. All of these factors are considered influential in production activity.

Forecasts play a central role that lies at the heart of the entire decision-making process. Inaccurate and inadequate forecasts risk, therefore, invalidating the conclusions reached through the difficult implementation and resolution of a decision model. The term "forecasting process" refers to that of complex activities, which are more or less explicit, that lead to the...

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