In this section, we will start by stepping through a Watson Community (https://dataplatform.cloud.ibm.com/community) tutorial, designed to demonstrate how easy it is to deploy a deep neural network using the TensorFlow libraries on IBM Watson Studio.
The tutorial is available on GitHub for download, but we won't provide the URL here because we will demonstrate how easy it is to simply import content from external sources (such as GitHub) from directly within a IBM Watson Studio project.
This exercise's key point is that complex machine learning models can be computationally thirsty, but IBM Watson Studio gives you the opportunity to easily and efficiently (pay as you go) use the computational power available on the cloud to speed up processing time and reduce the time it takes to learn from hours, or days, down to minutes.
Additionally, IBM Watson Studio...
