Kenviro provides a tool to simulate the machine learning process from learning to execution. By the end, you can call the API in the prediction or recognition task to your application. Moreover, the tool also provides a user interface for standalone users. The tool provides a Backpropagation algorithm for regression tasks and Self Organizing Maps for classification tasks. It supports matrix data in rows and columns format and binary data such as images.

The steps are quite easy, first of all, define the parameters: learning rate, epoch, activation type, nodes each layer. Secondly, upload your training data. After training is finished you will be notified, you can continue to submit your data to predict or recognize. You can submit it through the user interface or call the API.