Intro_To_Deep_Learning 1.0
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Run on GalaxyIntroduction to Deep Learning
Associated Tutorial
This workflows is part of the tutorial Introduction to deep learning, available in the GTN
Thanks to...
Tutorial Author(s): Anup Kumar, Alireza Khanteymoori
Tutorial Contributor(s): Saskia Hiltemann, Fabio Cumbo, Björn Grüning, Martin Čech, Armin Dadras
Funder(s): ELIXIR Europe, de.NBI, University of Freiburg
Grants(s): EuroScienceGateway
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/0.5.0 |
| 5 | Create deep learning model | toolshed.g2.bx.psu.edu/repos/bgruening/keras_model_builder/keras_model_builder/0.5.0 |
| 6 | Deep learning training and evaluation | toolshed.g2.bx.psu.edu/repos/bgruening/keras_train_and_eval/keras_train_and_eval/1.0.8.2 |
| 7 | Model Prediction | toolshed.g2.bx.psu.edu/repos/bgruening/model_prediction/model_prediction/1.0.8.2 |
| 8 | Machine Learning Visualization Extension | toolshed.g2.bx.psu.edu/repos/bgruening/ml_visualization_ex/ml_visualization_ex/1.0.8.2 |
Version History
master
Creators and Submitter
Views: 242 Downloads: 32 Runs: 0
Created: 2nd Jun 2025 at 11:02
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