Trainjob features

• The process of using training tasks
• Using GPU training
• Using distributed training
• Use hyperparameters for automatic tuning
• Using front-end and back-end commands
• Using NodeSelector scheduling strategies
• Use other Cloud-ML frameworks
• Managing Python project dependencies
• Customizing Training Task Docker images
• Using the TensorFlow template application