Discover how to integrate KNIME Analytics Platform with deep learning
libraries to implement artificial intelligence solutions
Key Features
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Become well-versed with KNIME Analytics Platform to perform codeless
deep learning
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Design and build deep learning workflows quickly and more easily using
the KNIME GUI
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Discover different deployment options without using a single line of
code with KNIME Analytics Platform
Book Description
KNIME Analytics Platform is an open source software used to create and
design data science workflows. This book is a comprehensive guide to the
KNIME GUI and KNIME deep learning integration, helping you build neural
network models without writing any code. It'll guide you in building
simple and complex neural networks through practical and creative
solutions for solving real-world data problems.
Starting with an introduction to KNIME Analytics Platform, you'll get an
overview of simple feed-forward networks for solving simple
classification problems on relatively small datasets. You'll then move
on to build, train, test, and deploy more complex networks, such as
autoencoders, recurrent neural networks (RNNs), long short-term memory
(LSTM), and convolutional neural networks (CNNs). In each chapter,
depending on the network and use case, you'll learn how to prepare data,
encode incoming data, and apply best practices.
By the end of this book, you'll have learned how to design a variety of
different neural architectures and will be able to train, test, and
deploy the final network.
What You Will Learn
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Use various common nodes to transform your data into the right
structure suitable for training a neural network
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Understand neural network techniques such as loss functions,
backpropagation, and hyperparameters
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Prepare and encode data appropriately to feed it into the network
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Build and train a classic feedforward network
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Develop and optimize an autoencoder network for outlier detection
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Implement deep learning networks such as CNNs, RNNs, and LSTM with the
help of practical examples
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Deploy a trained deep learning network on real-world data
Who this book is for
This book is for data analysts, data scientists, and deep learning
developers who are not well-versed in Python but want to learn how to
use KNIME GUI to build, train, test, and deploy neural networks with
different architectures. The practical implementations shown in the book
do not require coding or any knowledge of dedicated scripts, so you can
easily implement your knowledge into practical applications. No prior
experience of using KNIME is required to get started with this book.
