This node creates an empty Deep Learning Model, which is used to start a network architecture. This node
needs to be the first node in every network.
The KNIME Deeplearning4J Integration has been marked as legacy with KNIME Analytics Platform 5.0 and will be deprecated in a future version. If you are using this extension in a production workflow, consider switching to one of the other deep learning integrations available in KNIME Analytics Platform.
Popular Successors
- Dense Layer (legacy)33 %
DL4J Feedforward Learner (legacy)12 %- Pooling Layer (legacy)8 %
- DL4J Feedforward Predictor (Classification) (legacy)8 %
- DL4J Feedforward Learner (Classification) (legacy)7 %
- AutoEncoder Layer (legacy)6 %
- Convolution Layer (legacy)5 %
- DL4J Feedforward Learner (Regression) (legacy)5 %
- DL4J Feedforward Learner (Pretraining) (legacy)4 %
DL4J Model Writer3 %- LRN Layer (legacy)2 %
RBM Layer (legacy)2 %- Normalizer1 %
- Partitioning1 %
- DL4J Feedforward Predictor (Layer) (legacy)1 %
- DL4J Feedforward Predictor (Regression) (legacy)1 %
Views
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Workflows
01_AnalyticsKNIME Hub- 01_Basic_Concepts_Of_Deeplearning4J_IntegrationKNIME Hub
- 01_Using_DeepLearning4J_to_classify_MNIST_DigitsKNIME Hub
- 01_Using_DeepLearning4J_to_classify_MNIST_DigitsKNIME Hub
- 02_Basic_Learner_View_TutorialKNIME Hub
- Show all 30 workflows
Links
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Developers
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