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Effective ML workflows with Azure pipelines blog
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| - step: | |
| name: Preprocess dataset (MNIST) | |
| image: tensorflow/tensorflow:1.13.1-gpu-py3 | |
| command: python preprocess.py | |
| inputs: | |
| - name: training-set-images | |
| default: https://valohaidemo.blob.core.windows.net/mnist/train-images-idx3-ubyte.gz | |
| - name: training-set-labels | |
| default: https://valohaidemo.blob.core.windows.net/mnist/train-labels-idx1-ubyte.gz | |
| - name: test-set-images | |
| default: https://valohaidemo.blob.core.windows.net/mnist/t10k-images-idx3-ubyte.gz | |
| - name: test-set-labels | |
| default: https://valohaidemo.blob.core.windows.net/mnist/t10k-labels-idx1-ubyte.gz |
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