Intro_To_RNN_v1_0_10_0 2.0
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This workflows is part of the tutorial Deep Learning (Part 2) - Recurrent neural networks (RNN), available in the GTN
Features
- Includes Galaxy Workflow Tests
Thanks to...
Workflow Author(s): Kaivan Kamali
Tutorial Author(s): Kaivan Kamali
Inputs
| ID | Name | Description | Type |
|---|---|---|---|
| X_test | X_test | n/a |
|
| X_train | X_train | n/a |
|
| y_test | y_test | n/a |
|
| y_train | y_train | n/a |
|
Steps
| ID | Name | Description |
|---|---|---|
| 4 | Create a deep learning model architecture | toolshed.g2.bx.psu.edu/repos/bgruening/keras_model_config/keras_model_config/1.0.10.0 |
| 5 | Create deep learning model | toolshed.g2.bx.psu.edu/repos/bgruening/keras_model_builder/keras_model_builder/1.0.10.0 |
| 6 | Deep learning training and evaluation | toolshed.g2.bx.psu.edu/repos/bgruening/keras_train_and_eval/keras_train_and_eval/1.0.10.0 |
| 7 | Model Prediction | toolshed.g2.bx.psu.edu/repos/bgruening/model_prediction/model_prediction/1.0.10.0 |
| 8 | Machine Learning Visualization Extension | toolshed.g2.bx.psu.edu/repos/bgruening/ml_visualization_ex/ml_visualization_ex/1.0.10.0 |
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Views: 44 Downloads: 6 Runs: 0
Created: 2nd Jun 2025 at 14:16
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