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Codeless Deep Learning with KNIME

You're reading from   Codeless Deep Learning with KNIME Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform

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Product type Paperback
Published in Nov 2020
Publisher Packt
ISBN-13 9781800566613
Length 384 pages
Edition 1st Edition
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Authors (3):
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Kathrin Melcher Kathrin Melcher
Author Profile Icon Kathrin Melcher
Kathrin Melcher
KNIME AG KNIME AG
Author Profile Icon KNIME AG
KNIME AG
Rosaria Silipo Rosaria Silipo
Author Profile Icon Rosaria Silipo
Rosaria Silipo
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Toc

Table of Contents (16) Chapters Close

Preface 1. Section 1: Feedforward Neural Networks and KNIME Deep Learning Extension
2. Chapter 1: Introduction to Deep Learning with KNIME Analytics Platform FREE CHAPTER 3. Chapter 2: Data Access and Preprocessing with KNIME Analytics Platform 4. Chapter 3: Getting Started with Neural Networks 5. Chapter 4: Building and Training a Feedforward Neural Network 6. Section 2: Deep Learning Networks
7. Chapter 5: Autoencoder for Fraud Detection 8. Chapter 6: Recurrent Neural Networks for Demand Prediction 9. Chapter 7: Implementing NLP Applications 10. Chapter 8: Neural Machine Translation 11. Chapter 9: Convolutional Neural Networks for Image Classification 12. Section 3: Deployment and Productionizing
13. Chapter 10: Deploying a Deep Learning Network 14. Chapter 11: Best Practices and Other Deployment Options 15. Other Books You May Enjoy

Accessing Data

Before starting with examples of how to access and import data into a KNIME workflow, let's create the workflow:

  1. Click on the File item in the top menu or right-click on a folder, such as LOCAL, for example, in KNIME Explorer.
  2. Then, select the New KNIME Workflow option.
  3. Give it a name – for example, Ch2_Workflow_Examples – and a destination.

    An empty canvas will open in the central part of the KNIME workbench: the workflow editor.

For this chapter, we will use toy data already available at installation. A set of workflows is installed together with the core KNIME Analytics Platform. You can find them in the Example Workflows folder (Figure 2.1) in the KNIME Explorer panel. Its TheData sub-folder contains some free toy datasets:

Figure 2.1 – Structure of the Example Workflows folder in the KNIME Explorer panel

Figure 2.1 – Structure of the Example Workflows folder in the KNIME Explorer panel

We will mainly use the datasets in the Misc sub-folder.

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