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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

Summary

This first chapter aimed to prepare you for the content provided in this book.

Thus, we started this chapter by reminding you of the importance of deep learning, as well as the surge in popularity it garnered following the first deep learning success stories. Such a surge in popularity is probably what brought you here, with the desire to learn more about practical implementations of deep learning networks for real use cases.

Nowadays, the main barrier that we come across when learning about deep learning is the coding skills that are required. Here, we adopted KNIME software, and in particular the open source KNIME Analytics Platform, so that we can look at the case studies that will be proposed throughout this book. To do this, we described KNIME software and KNIME Analytics Platform in detail.

KNIME Analytics Platform also benefits from an extension known as KNIME Deep Learning – Keras Integration, which helps with integrating Keras deep learning libraries...

You have been reading a chapter from
Codeless Deep Learning with KNIME
Published in: Nov 2020
Publisher: Packt
ISBN-13: 9781800566613
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