BIGWATCHER is AI・Bigdata Management Platform for Intergrated Data.

Using Deep Learning, It is the process of applying deep neural network technologies to solve problems.

• Architecture of BIGWATCHER

1) Deep learning library : .Net library is used to implement a neural network for solving the problem. Deep Learning library provides high-level neural network APIs to develop, train and evaluate the neural network-based model.

2) Design Tool : Graph User Interface software with the core is .Net Deep learning library to help designer or developer create a neural network, setting parameters by dragging or drop the available block of the layer from the given toolbox.

3) Training Tool : Designer or developer can configure hyper-parameters for training designed model from the designer tool.

4) Server application : in which the trained model is deployed to production.