Re: Backpropagation: How Many Weights?

nevlis <[EMAIL PROTECTED]> wrote in
news:[EMAIL PROTECTED]: 

> Here is my problem:  I am trying to create a small COM object that
> will allow me to run a NN from a web-page.  The com object does not
> have to train the the NN just run the backpropagation algorithm with
> given weights.  
> 
> The group that I am working with provided me with 3288 Weights for a
> NN that has 4 layers.  Input layer 81 nodes, hidden layer 1 32 nodes,
> hidden layer 2 16 nodes and output layer 8 nodes.
> 
> To get howmany weights, I thought it would calculated this way.
> 
> 81 * 32 = 2592
> 
> 32 * 16 = 512
> 
> 16 * 8  = 128
> 
> Total Weights = 2592 + 512 + 128 = 3232
> 
> There is a difference of 3288 - 3232 = 56 weights 
> 
> Can someone tell me if I am calculating the above correctly or am I 
> missing something.
> 
> Would someone no where I could find a simple algorithm that
> would allow me to run a NN with the above specifications
> 
> I know the Acitvation function the user would like to use
> is the sigmoid.
> 
> 
> Thanks nevlis

Ok I know about the bias now and how it works... I read that the Bias 
node should be set at 1.0 is this correct?

Thanks nevlis