December 2017
Intermediate to advanced
536 pages
14h 23m
English
Content preview from TensorFlow 1.x Deep Learning Cookbook
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How to do it...
We proceed with running distributed TensorFlow on Google CloudML:
- The first step is simply to download the example code
git clone https://github.com/GoogleCloudPlatform/cloudml-dist-mnist-example cd cloudml-dist-mnist-example
- Then we download the data and save in a GCP storage bucket
PROJECT_ID=$(gcloud config list project --format "value(core.project)")BUCKET="${PROJECT_ID}-ml"gsutil mb -c regional -l us-central1 gs://${BUCKET}./scripts/create_records.pygsutil cp /tmp/data/train.tfrecords gs://${BUCKET}/data/gsutil cp /tmp/data/test.tfrecords gs://${BUCKET}/data/
- Submitting a training job is a very easy: we can simply invoke the training step with CloudML engine. In this example, the trainer code runs for 1000 iterations ...
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