The Learning Progress view shows how learning is progressing. Up to 5000 graph points are recorded. This is sufficient for over 200,000,000 learning cycles. The graph is produced by sampling these points. The horizontal axis is nonlinear to allow the whole learning progress to be displayed. As more cycles are executed the graph is squashed to the left. The scaled errors for all example rows are used. The red line is the maximum example error, the blue line is the minimum example error and the green line is the average example error. The orange line is the average validating error. The errors are also shown on the Example errors view.
The learning progress graph shows the maximum, average and minimum training error. The average validating error is shown if any validating examples rows are included. The graph is squashed to the left as learning progresses so that the whole learning curve is visible. Up to 200,000,000 learning cycles can be displayed on the graph.