Codeless Deep Learning with KNIME
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.
Offered by
Difficulty Level
Intermediate
Completion Time
12h48m
Language
English
About Book
Who Is This Book 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.
Codeless Deep Learning with KNIME
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 12h48m total length
Introduction to Deep Learning with KNIME Analytics Platform
Data Access and Preprocessing with KNIME Analytics Platform
Getting Started with Neural Networks
Building and Training a Feedforward Neural Network
Autoencoder for Fraud Detection
Recurrent Neural Networks for Demand Prediction
Implementing NLP Applications
Neural Machine Translation
Convolutional Neural Networks for Image Classification
Deploying a Deep Learning Network
Best Practices and Other Deployment Options
Related Resources
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