manual-training.md

@@ -117,6 +117,16 @@ For instance one can compare the loss rate and the learning rate of a training i
 
 Furthermore the user can choose how to plot the data (linear, logarithmic) and to plot it against the time or the number of iterations. Both options can be set in the settings panel.
 
+## Weight plotter
+The weight plotter can visualize the filter trained in the neural network (currently limited to convolutional layer).
+After splitting the convolutional layer into its filters, the matrices for every filter are rendered as a block of grayscale pixels.
+Very light pixels represent the weights with the higher parameter values, darker pixels the weights with the lower parameter values.
+ ![image](/uploads/ea6a7099e4e1c3f2ee052233215fc810/image.png)
+By use of the three comboboxes the desired session, snapshot and layer can be chosen respectively. 
+By holding and dragging the left mouse button, the visualization can be panned in a desired direction.
+Using the mouse wheel alters the scale of the picture. 
+A visualization can be saved by clicking the **save** button and entering a desired name and format-suffix. 
+
 ### CSV-export
 
 It is possible to export the plotted data in the CSV-format. Only the selected data (which is actually plotted) will be written to a CSV-file. The file then contains one table for each session/log file and phase introduced by a comment for indetification. To export the plots just click on 'Export as CSV'. The exported file could look like this