You're reading from Machine Learning for Developers

Product typeBook

Published inOct 2017

Reading LevelBeginner

PublisherPackt

ISBN-139781786469878

Edition1st Edition

Languages

Python

Tools

SciPy Scikit-learn

Concepts

Machine Learning

Authors (2):

Rodolfo Bonnin

Md Mahmudul Hasan

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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.

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Machine Learning for Developers

Published in: Oct 2017Publisher: PacktISBN-13: 9781786469878

Authors (2)

Rodolfo Bonnin

Rodolfo Bonnin is a systems engineer and Ph.D. student at Universidad Tecnolgica Nacional, Argentina. He has also pursued parallel programming and image understanding postgraduate courses at Universitt Stuttgart, Germany. He has been doing research on high-performance computing since 2005 and began studying and implementing convolutional neural networks in 2008, writing a CPU- and GPU-supporting neural network feedforward stage. More recently he's been working in the field of fraud pattern detection with Neural Networks and is currently working on signal classification using machine learning techniques. He is also the author of Building Machine Learning Projects with Tensorflow and Machine Learning for Developers by Packt Publishing.
Read more about Rodolfo Bonnin

Md Mahmudul Hasan

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