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Codeless Deep Learning with KNIME

You're reading from  Codeless Deep Learning with KNIME

Product type Book
Published in Nov 2020
Publisher Packt
ISBN-13 9781800566613
Pages 384 pages
Edition 1st Edition
Languages
Authors (3):
Kathrin Melcher Kathrin Melcher
Profile icon Kathrin Melcher
KNIME AG KNIME AG
Rosaria Silipo Rosaria Silipo
Profile icon Rosaria Silipo
View More author details

Table of Contents (16) Chapters

Preface Section 1: Feedforward Neural Networks and KNIME Deep Learning Extension
Chapter 1: Introduction to Deep Learning with KNIME Analytics Platform Chapter 2: Data Access and Preprocessing with KNIME Analytics Platform Chapter 3: Getting Started with Neural Networks Chapter 4: Building and Training a Feedforward Neural Network Section 2: Deep Learning Networks
Chapter 5: Autoencoder for Fraud Detection Chapter 6: Recurrent Neural Networks for Demand Prediction Chapter 7: Implementing NLP Applications Chapter 8: Neural Machine Translation Chapter 9: Convolutional Neural Networks for Image Classification Section 3: Deployment and Productionizing
Chapter 10: Deploying a Deep Learning Network Chapter 11: Best Practices and Other Deployment Options Other Books You May Enjoy

Questions and Exercises

Check your level of understanding of the concepts presented in this chapter by answering the following questions:

  1. How can I read a text file with lines of variable length?

    a) By using the CSV Reader node

    b) By using the File Reader node

    c) By using the File Reader node and the allow short lines enabled option

    d) By using the File Reader node and the Limit Rows enabled option

  2. How can I filter records to the Age > 42 column?

    a) By using the Column Filter node and selecting the Age column

    b) By using the Row Filter node and pattern matching =42 with the Include option on the right

    c) By using the Row Filter node and range checking on, lower boundary 42, with the Include option on the right

    d) By using the Row Filter node and range checking on, lower boundary 42, with the Exclude option on the right

  3. How can I find the average sentiment rating for single women?

    a) By using a GroupBy node with Gender and MaritalStatus as group columns and...

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