Melcher, Kathrin
Codeless Deep Learning with KNIME: Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform
- ISBN 13:
- 9781800566613
- author:
- Melcher, Kathrin
- format:
- Paperback / softback
- publisher:
- Packt Publishing Limited
- language:
- English
- Publication Year:
- 2020
- Pages:
- 384
- Dimensions:
- 23.5 x 19.1 x 2 centimeters (0.7
- Genre:
- Computers, Computer Science, Computers,
- Condition:
- New
- Availability:
- Item usually sent within 7 working days
Description
Build and deploy neural networks without writing code with KNIME Analytics Platform. This comprehensive guide covers the integration of KNIME Analytics Platform with deep learning libraries to implement artificial intelligence solutions. You'll learn how to design and build simple and complex neural network models using the KNIME GUI, and discover different deployment options without coding. Starting with an introduction to KNIME Analytics Platform, you'll progress through building simple feed-forward networks for classification problems, and then move on to more complex networks such as autoencoders, recurrent neural networks (RNNs), long short-term memory (LSTM), and convolutional neural networks (CNNs). Each chapter covers data preparation, encoding, and best practices for preparing your data. By the end of this book, you'll have learned how to design a variety of different neural architectures and be able to train, test, and deploy your final network.
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