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      Introduction 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
 Creators and Submitter
 Creators and SubmitterCreators
Submitter
Discussion Channel
Tool
    
    Citation
  
  
  Kumar, A., & Khanteymoori, A. (2025). Intro_To_Deep_Learning. WorkflowHub. https://doi.org/10.48546/WORKFLOWHUB.WORKFLOW.1637.1
    Activity
Views: 1262 Downloads: 167 Runs: 0
Created: 2nd Jun 2025 at 11:02
Last updated: 25th Jul 2025 at 14:06
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