Codeless Deep Learning with KNIME Build, Train, and Deploy Various Deep Neural Network Architectures Using KNIME Analytics Platform

Melcher, Kathrin. (Author). Silipo, Rosaria. (Added Author).

Summary: 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.

Record details

ISBN: 9781800562424
ISBN: 180056242X
Physical Description: 1 online resource (385 p.)
remote
electronic resource
Publisher: Birmingham : Packt Publishing, Limited, 2020.

Content descriptions

General Note:

Description based upon print version of record.

Formatted Contents Note:

Extracting the Predictions and Evaluating the Network Performance -- Testing the Network Trained to Classify Iris Flowers -- Testing the Network Trained for Income Prediction -- Summary -- Questions and Exercises -- Section 2: Deep Learning Networks -- Chapter 5: Autoencoder for Fraud Detection -- Introducing Autoencoders -- Architecture of the Autoencoder -- Reducing the Input Dimensionality with an Autoencoder -- Detecting Anomalies Using an Autoencoder -- Why is Detecting Fraud so Hard? -- Building and Training the Autoencoder -- Data Access and Data Preparation -- Building the Autoencoder