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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 2. The Learning Process FREE CHAPTER 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

Exploring a convolutional model with Quiver

In this practical example, we will load one of the models we have previously studied (in this case, Vgg19) with the help of the Keras library and Quiver. Then we will observe the different stages of the architecture, and how the different layers work, with a certain input.

Exploring a convolutional network with Quiver

Quiver (https://github.com/keplr-io/quiver) is a recent and very convenient tool used to explore models with the help of Keras. It creates a server that can be accessed by a contemporary web browser and allows the visualization of a model's structure and the evaluation of input images from the input layers until the final predictions.

With the following code snippet...

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