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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

Basics of classification problems

Classifiers identify the class of a new objective, based on knowledge that's been extracted from a series of samples (dataset). Starting from a dataset, a classifier extracts a model, which is then used to classify the new instances. Examples of classifiers are as follows:

  • The texts classifier: This classifier is able to say whether a piece of text is relevant to a pre-established topic, based only on the terms that appear
  • The image classifier: This is a classifier that, given some points of a simple drawing, is able to reconstruct the underlying pattern
  • The medical classifier: This is a classifier that, from a sufficient amount of clinical data, is able to find out whether a patient is suffering from a certain disease, or what the severity of the disease is

Therefore, the classifier is a system with some characteristics that allow you...

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