Training with Watson Machine Learning Accelerator

Use the command line tools to train your deep learning models with IBM Watson® Machine Learning Accelerator.

Accessing data for Watson Machine Learning Accelerator workloads
Accessing data in IBM® Cloud Pak for Data for running Watson Machine Learning Accelerator training and hyperparameter optimization workloads.
Elastic distributed training
Use this document to learn how to run elastic distributed training workloads using GPU devices. GPU devices are dynamically allocated to the training job without stopping training.
Hyperparameter optimization and tuning
Hyperparameters are the parameters used to control the deep learning model training process in IBM Watson Machine Learning Accelerator, such as learning rate and optimization function parameters.

Parent topic: Workload