Welcome to MLSteam!

Here is the complete guide to training and developing your deep learning application with our platform MLSteam.

To have a quick tutorial for using our system is to use Quick start. You will create a lab in a project on MLSteam with same code in the lab.

Terminology

Here we list all terminology used in MLSteam web.

• Project

• Dataset

• Lab

• Job

• Template

Project

The project is a collection of all works when you developing a DNN models. You can launch a either a jupyterlab (we call them labs) or launch experiments and training iterations (we call them jobs) will be kept and organized.

Dataset

Dataset is any collection of data. You can organized you data into different directories (we call dataset) and modify datasets by web portal. You can preview images and upload/download dataset files on dataset pages. All datasets can be used in your labs.

Lab

A lab is a web IDE (based on JupyterLab) organized in container basis. You can develop DNN models in a lab and start training in the same lab or create another training containers (we call jobs) for keeping records.

Job

A job is a run of specific code, can be connected to dataset.

Template

A template is an example of a lab with specific type of DNN model with already preloaded dataset connected to it. Serves as an example or template for users.