Ludwig - Image recognition model - MNIST 2.0
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Run on GalaxyDeep Learning image classifier model
Associated Tutorial
This workflows is part of the tutorial Train and Test a Deep learning image classifier with Galaxy-Ludwig, available in the GTN
Features
- Includes Galaxy Workflow Tests
Thanks to...
Workflow Author(s): Paulo Cilas Morais Lyra Junior, Junhao Qiu, Jeremy Goecks
Tutorial Author(s): Paulo Cilas Morais Lyra Junior, Junhao Qiu, Jeremy Goecks
Inputs
| ID | Name | Description | Type |
|---|---|---|---|
| config.yaml | #main/config.yaml | The config.yaml file is crucial as it defines the entire structure of your machine learning experiment. This configuration file tells Ludwig how to process your data, what model to use, how to train it, and what outputs to generate. |
|
| mnist_dataset.csv | #main/mnist_dataset.csv | mnist_dataset.csv file is created and contains three columns: image_path, label, and, split. |
|
| mnist_images.zip | #main/mnist_images.zip | PNG files containing the handwritten numbers |
|
Steps
| ID | Name | Description |
|---|---|---|
| 3 | Ludwig Experiment | toolshed.g2.bx.psu.edu/repos/paulo_lyra_jr/ludwig_applications/ludwig_experiment/2024.0.10.3 |
Outputs
| ID | Name | Description | Type |
|---|---|---|---|
| _anonymous_output_1 | #main/_anonymous_output_1 | n/a |
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| _anonymous_output_2 | #main/_anonymous_output_2 | n/a |
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| _anonymous_output_3 | #main/_anonymous_output_3 | n/a |
|
Version History
master
Creators and Submitter
Views: 231 Downloads: 31 Runs: 0
Created: 2nd Jun 2025 at 11:01
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