Trimming

Trimming
 
Trimming.
 
An EasyNN-plus network can be trimmed while it is learning. 
 
Trimming weights, disconnecting input nodes and excluding example rows can be enabled while the network is learning.
 
Trimming has a low weight threshold. If the weight is below the threshold for the number of cycles it will be no longer be updated during learning.
 
Input nodes can be set to disconnect if they are the least important for the number of cycles.
 
Example rows that have the greatest error for the number of cycles can be excluded.
 
 
 
 
1

Trimming

1. TrimmingCheck to enable connection Trimming when the weight is below the level set for the number of learning cycles.
 
2

Disconnect

2. DisconnectDisconnect the input node if it is the lease important for the number of cycles.
 
3

Exclude

3. ExcludeExclude the example row if it has the greatest for the number of cycles.
 
 
4

OK

4. OKClick to accept all settings and close the dialog.
 
5

Cancel

5. CancelClick to reject all settings and close the dialog.
 

Created with help of DrExplain