Neural Network problems
- by Betamoo
I am using an external library for Artificial Neural Networks in my project..
While testing the ANN, It gave me output of all NaN (not a number in C#)
The ANN has 8 input , 5 hidden , 5 hidden , 2 output, and all activation layers are of Linear type , and it uses back-propagation, with learning rate 0.65
I used one testcase for training { -2.2, 1.3, 0.4, 0.5, 0.1, 5, 3, -5 } ,{ -0.3, 0.2 }
for 1000 epoch
And I tested it on { 0.2, -0.2, 5.3, 0.4, 0.5, 0, 35, 0.0 } which gave { NaN , NaN}
Note: this is one example of many that produces same case...
I am trying to discover whether it is a bug in the library, or an illogical configuration..
The reasons I could think of for illogical configuration:
All layers should not be linear
Can not have descending size layers, i.e 8-5-5-2 is bad..
Only one testcase ?
Values must be in range [0,1] or [-1,1]
Is any of the above reasons could be the cause of error, or there are some constraints/rules that I do not know in ANN designing..?
Note: I am newbie in ANN
