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  1. name: tf-mnist-hyperparameter-optimization
  2. description: Simple MNIST model implemented in TF using Hyperparameter Optimization
  3. framework:
  4.   name: tensorflow
  5.   version: '1.5'
  6.   runtimes:
  7.     name: python
  8.     version: '3.5'
  9. execution:
  10.   command: python3 convolutional_network.py --trainImagesFile ${DATA_DIR}/train-images-idx3-ubyte.gz
  11.     --trainLabelsFile ${DATA_DIR}/train-labels-idx1-ubyte.gz --testImagesFile ${DATA_DIR}/t10k-images-idx3-ubyte.gz  --testLabelsFile
  12.     ${DATA_DIR}/t10k-labels-idx1-ubyte.gz --trainingIters 200000
  13.   compute_configuration:
  14.     name: k80
  15. training_data_reference:
  16. - name: MNIST Training Data
  17.   connection:
  18.     endpoint_url: s3.private.us-south.cloud-object-storage.appdomain.cloud
  19.     access_key_id: "3b6e39780fd34466b02417a920e2bf25"
  20.     secret_access_key: "4028a1ae4459e851a13a428f65bd7f05a5cd3f84f308713f"
  21.   source:
  22.     bucket: tutorial-train-data
  23.     type: s3
  24. training_results_reference:
  25.   name: Training Results
  26.   connection:
  27.     endpoint_url: s3.private.us-south.cloud-object-storage.appdomain.cloud
  28.     access_key_id: "3b6e39780fd34466b02417a920e2bf25"
  29.     secret_access_key: "4028a1ae4459e851a13a428f65bd7f05a5cd3f84f308713f"
  30.   target:
  31.     bucket: tutorial-train-results
  32.   type: s3
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