You're reading from Codeless Deep Learning with KNIME

Product typeBook

Published inNov 2020

Reading LevelIntermediate

PublisherPackt

ISBN-139781800566613

Edition1st Edition

Languages

Python

Tools

Knime

Concepts

Deep Learning

Authors (3):

Kathrin Melcher

KNIME AG

Rosaria Silipo

View More author details

Installing KNIME Deep Learning – Keras Integration

In this section, you will learn how to install and set up KNIME Deep Learning - Keras Integration in order to train neural networks in KNIME Analytics Platform.

KNIME Analytics Platform consists of a software core and several provided extensions and integrations. Such extensions and integrations are provided by the KNIME community and extend the original software core through a variety of data science functionalities, including advanced algorithms for AI.

The KNIME extension of interest here is called KNIME Deep Learning – Keras Integration. It offers a codeless GUI-based integration of the Keras library, while using TensorFlow as its backend. This means that a number of functions from Keras libraries have been wrapped into KNIME nodes, within KNIME's classic, easy-to-use visual dialog window. Due to this integration, you can read, write, create, train, and execute deep learning networks without writing code...

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Codeless Deep Learning with KNIME

Published in: Nov 2020Publisher: PacktISBN-13: 9781800566613

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Authors (3)

Kathrin Melcher

Kathrin Melcher is a data scientist at KNIME. She holds a master's degree in mathematics from the University of Konstanz, Germany. She joined the evangelism team at KNIME in 2017 and has a strong interest in data science and machine learning algorithms. She enjoys teaching and sharing her data science knowledge with the community, for example, in the book From Excel to KNIME, as well as on various blog posts and at training courses, workshops, and conference presentations.
Read more about Kathrin Melcher

KNIME AG

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