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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

Goal and Structure of this Book

In this book, our aim is to provide you with a strong theoretical basis about deep learning architectures and training paradigms, as well as some detailed codeless experience of their implementations for solving practical case studies based on real-world data.

For this journey, we have adopted the codeless tool, KNIME Analytics Platform. KNIME Analytics Platform is based on visual programming and exploits a user-friendly GUI to make data analytics a more affordable task without the barrier of coding. As with many other external extensions, KNIME Analytics Platform has integrated the Keras libraries under this same GUI, thus including deep learning as part of its list of codeless extensions. From within KNIME Analytics Platform, you can build, train, and test a deep learning architecture with just a few drag and drops and a few clicks of the mouse. We provided a little introduction to the tool in this chapter, but we will provide more detailed information...

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Codeless Deep Learning with KNIME
Published in: Nov 2020 Publisher: Packt ISBN-13: 9781800566613
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