I'm the author. Yes I find it useful in various ways.
If the learning rate is too high, you can visibly see see weights flicker between different colours. In simple nets you can use it to identify the "meaning" of feature detectors by observing positive and negative links (green and red). You can debug learning algorithms by immediately seeing if something unusual is happening to the weights or activations.
As always caveats apply, but it is a useful technique (when used alongside a variety of other tools).
If the learning rate is too high, you can visibly see see weights flicker between different colours. In simple nets you can use it to identify the "meaning" of feature detectors by observing positive and negative links (green and red). You can debug learning algorithms by immediately seeing if something unusual is happening to the weights or activations.
As always caveats apply, but it is a useful technique (when used alongside a variety of other tools).