Autoencoder MNIST MidPoint Focus
Exploring the latent space of an autoencoder for dimensional reduction
Nodes
- Integer Configuration40 ×
- Keras Dense Layer34 ×
- Column Filter21 ×
- Single Selection Configuration20 ×
- Merge Variables16 ×
- Color Appender10 ×
- GroupBy10 ×
- Joiner10 ×
- Sorter10 ×
- String Configuration10 ×
- Keras Dropout Layer9 ×
- Keras Network Executor9 ×
- 3D Scatter Plot (Plotly)7 ×
- Scatter Plot (Plotly)7 ×
- Keras Input Layer6 ×
- Rule Engine6 ×
- String Manipulation6 ×
- Integer Input5 ×
- Keras Network Learner5 ×
- Keras Network Reader5 ×
- Keras Network Writer5 ×
- Conda Environment Propagation4 ×
- DBSCAN4 ×
- Double Input4 ×
- Image Calculator4 ×
- Java Snippet (simple)4 ×
- Numeric Distances4 ×
- Partitioning4 ×
- Python Script (legacy)4 ×
- Python View4 ×
- RowID4 ×
- Create Collection Column3 ×
- Data Row to Image3 ×
- Many to One3 ×
- Normalizer3 ×
- Scorer3 ×
- Scorer (JavaScript)3 ×
- CSV Writer2 ×
- Math Formula (Multi Column)2 ×
- Table Reader2 ×
- Table Writer2 ×
- k-Means2 ×
- Add Empty Rows1 ×
- Color Manager1 ×
- Column Rename1 ×
- Column Resorter1 ×
- Extract Color1 ×
- Keras Convolution 2D Layer1 ×
- Keras Flatten Layer1 ×
- Keras Max Pooling 2D Layer1 ×
- Model Writer1 ×
- Number To String1 ×
- One to Many1 ×
- Python Source1 ×
- Table Editor (JavaScript)1 ×
Extensions
- FeatureKNIME Base nodes
- FeatureKNIME Conda Integration
- FeatureKNIME Deep Learning - Keras Integration
- FeatureKNIME Distance Matrix
- FeatureKNIME Image Processing
- Show all 11 modules
Links
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