Tooling and Python libraries around deep learning have been improving and reducing in complexity while the increase in available data, and GPUs have driven rapid improvements in the field of artificial intelligence. With almost limitless compute at the end of an API call, training deep learning models no longer requires management of a complex matrix of drivers and software to get started. Learn how developers can quickly train, evaluate, tune, and deploy deep learning models using cloud compute, and model hosting with IBM’s Deep Learning as a Service, and Watson Studio, your IDE for Artificial Intelligence.