Exploring Deep Learning and Neural Network Modeler with Watson Studio

It was too much fun creating my own convolutional neural network with Watson Studio! The Neural Network Modeler provides expressive and intuitive graphical tools for building powerful deep learning models. Application developers, analysts, and data scientists use WML to integrate machine learning into their workflow seamlessly. For example, you can save and deploy models as a REST API with a few clicks, minimizing the time it takes to put machine learning models to work. In this example, I used the familiar MNIST data set (images of hand-written digits) and created a three layers deep CNN.