Training your model

Starting the training

Note for MPhil students: You do not have access to the network and multi-cpu options.

If you have read what is called here a model, you might guess that this step is more about training many models than training "a" model. To avoid confusion here, we will call each individual model a submodel.

When you press "Train", you should see the following screen:

Necessary settings:

You need to set a maximum number of hidden units and a seed number to train your model. The values by default are 20 hidden units and 5 seeds.
The functions of the sliding bars should be obvious, but the meaning of what is being set might not be so:

Optional settings:

DO NOT let the computer start the training automatically or, currently, everything will be trained on the computer you are using. You should repeat the following for all the computers you selected:


Once you have set all the options as you want, just click on Proceed to start the training. You can now log out of your machine, but, obviously, not reboot it or shut it down.

Some warnings:

Once your model is trained  Top

Each time you start it, the model manager will verify whether any training that you have started earlier is finished.

When the training of a model is finished, the model manager remains busy for a time which depends on the complexity of the model, and you are then presented the following screen:

You can save the graphs as Postscript files or GIF images.

The model manager uses gnuplot to generate the graphs, the latest version of this software do not allow the creation of GIF images, so that you may receive an error message if you try this option.

In this version of the Models Manager, you are not presented with another opportunity to save these graphs, so think twice before pressing QUIT.

Model Manager Tutorial
Copyright Neuromat Ltd, All rights reserved
Author: Thomas Sourmail, Neuromat Ltd
Back to main Top