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01_​Basic_​Concepts_​Of_​Deeplearning4J_​Integration

Workflow

Basic Concepts of Deeplearning4J Integration

This workflow shows basic concepts of the KNIME Deeplearning4J Integration.

deeplearning machine learning neural networks
Basic Concepts of Deeplearning4J IntegrationThis workflow shows basic concepts of the KNIME Deeplearning4J Integration.Generally, a deep learning workflow consists of three major steps:1.Create Network Architecture2.Train Network3.Create OutputThese steps are explained in more detail in the grey metanotes contained in the workflow below.Workflow RequirementsKNIME Analytics Platform 3.4.0KNIME Deeplearning4J Integration Create NetworkArchitecture Train Network Create Output Basic Concepts of Deeplearning4J IntegrationThis workflow shows basic concepts of the KNIME Deeplearning4J Integration.Generally, a deep learning workflow consists of three major steps:1.Create Network Architecture2.Train Network3.Create OutputThese steps are explained in more detail in the grey metanotes contained in the workflow below.Workflow RequirementsKNIME Analytics Platform 3.4.0KNIME Deeplearning4J Integration Create NetworkArchitecture Train Network Create Output

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Nodes

01_​Basic_​Concepts_​Of_​Deeplearning4J_​Integration consists of the following 21 nodes(s):

Plugins

01_​Basic_​Concepts_​Of_​Deeplearning4J_​Integration contains nodes provided by the following 2 plugin(s):