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.
publication date
2020-11-27
what you will learn
Use various common nodes to transform your data into the right structure suitable for training a neural network
Understand neural network techniques such as loss functions, backpropagation, and hyperparameters
Prepare and encode data appropriately to feed it into the network
Build and train a classic feedforward network
Develop and optimize an autoencoder network for outlier detection
Implement deep learning networks such as CNNs, RNNs, and LSTM with the help of practical examples
Deploy a trained deep learning network on real-world data
key features
Become well-versed with KNIME Analytics Platform to perform codeless deep learning * Design and build deep learning workflows quickly and more easily using the KNIME GUI * Discover different deployment options without using a single line of code with KNIME Analytics Platform
approach
Complete with step-by-step explanations of essential concepts and practical examples, you will deep dive into deep learning using KNIME Analytics Platform.
audience
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.
short description
Starting with an easy introduction to KNIME Analytics Platform, this book will take you through the key features of the platform and cover the advanced and latest deep learning concepts in neural networks. In each chapter, you’ll solve real-world case studies based on deep learning networks to spark your creativity for new projects.
subtitle
Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform
keywords
Data analytics; RNN LSTM; LSTM neural network; machine learning; deep learning; neural networks; analytics platform; LSTM neural network; Neural networks and deep learning
Product ISBN
9781800566613
