batch-shipyard/recipes/Keras+Theano-CPU

Keras+Theano-CPU

This recipe shows how to run Keras with the Theano backend on a single node using CPU only.

Configuration

Please see refer to this set of sample configuration files for this recipe.

Pool Configuration

The pool configuration should enable the following properties:

• max_tasks_per_node must be set to 1 or omitted

Other pool properties such as publisher, offer, sku, vm_size and vm_count should be set to your desired values.

Global Configuration

The global configuration should set the following properties:

• docker_images array must have a reference to a valid Keras+Theano CPU-enabled Docker image. alfpark/keras:cpu can be used for this recipe.

Jobs Configuration

The jobs configuration should set the following properties within the tasks array which should have a task definition containing:

• docker_image should be the name of the Docker image for this container invocation, e.g., alfpark/keras:cpu
• command should contain the command to pass to the Docker run invocation. For the alfpark/keras:cpu Docker image and to run the MNIST convolutional example, the command would simply be: "python -u /keras/examples/mnist_cnn.py"

Dockerfile and supplementary files

The Dockerfile for the Docker image can be found here.

You must agree to the following licenses prior to use:

• Keras License
• Theano License