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

Questions and Exercises

Which network conversions are available in KNIME Analytics Platform?
a) Keras to TensorFlow network conversion
b) TensorFlow to Keras network conversion
c) ONNX to Keras network conversion
d) Keras to ONNX network conversion
Which statements regarding Integrated Deployment are true (two statements are correct)?
a) Integrated Deployment allows us to retrain a model during execution.
b) The execution of the automatically generated workflow can be triggered by another workflow.
c) The execution of the training workflow is triggered by the deployment workflow.
d) Integrated Deployment closes the gap between training and deployment.

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Codeless Deep Learning with KNIME

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

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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You're reading from Codeless Deep Learning with KNIME

Questions and Exercises

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Authors (3)

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