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Machine Learning for Developers

You're reading from   Machine Learning for Developers Uplift your regular applications with the power of statistics, analytics, and machine learning

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781786469878
Length 270 pages
Edition 1st Edition
Languages
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Authors (2):
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Md Mahmudul Hasan Md Mahmudul Hasan
Author Profile Icon Md Mahmudul Hasan
Md Mahmudul Hasan
Rodolfo Bonnin Rodolfo Bonnin
Author Profile Icon Rodolfo Bonnin
Rodolfo Bonnin
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Toc

Table of Contents (10) Chapters Close

Preface 1. Introduction - Machine Learning and Statistical Science FREE CHAPTER 2. The Learning Process 3. Clustering 4. Linear and Logistic Regression 5. Neural Networks 6. Convolutional Neural Networks 7. Recurrent Neural Networks 8. Recent Models and Developments 9. Software Installation and Configuration

Neural Networks

As a developer, you have surely gained an interest in machine learning from looking at all the incredibly amazing applications that you see on your regular devices every day—automatic speech translation, picture style transfer, the ability to generate new pictures from sample ones, and so on. Brace yourself... we are heading directly into the technology that has made all these things possible.

Linear and logistic models, such as the ones we've observed, have certain limitations in terms of the complexity of the training dataset they train a model on, even when they are the basis of very articulated and efficient solutions.

How complex does a model have to be to capture the style of writing of an author, the concept of an image of a cat versus an image of a dog, or the classification of a plant based on visual elements? These things require the summation...

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