What is data in regression plot in neural network?

I have trained a neural network to recognize three different signs (stop sign, no-left sign and no-entry sign). I have taken 50 images for each class. Every picture has size of 25x25 matrix,so my input is 625x150 matrix and target - 1x150 matrix. After training for 1000 epochs, the network shows the following regression plot. But I do not understand what actually does the circle shaped data mean? And is it supposed to be concentrated as shown in the diagram?

Answer 1

[ALBERT ALEXANDER STONIER]

The circled shaped in the input data which you have used for the training of neural network.

[Greg Heath]

The circled shape"s are" the input data ...

Greg

Answer 2

[Greg Heath]

The circles are your OUTPUT data. HOWEVR, You have 3 classes of target the plots only show outputs of 0 and 1.

 Where are the points for the third class?

The standard approach is to have 3 dimensional (0,1) unit vectors for targets. That is, columns of eye(3).

Hope this helps.

Greg

[NEHA SINGH]

What is R=0.9997. Explain the full graph sir.

[Greg Heath]

I'm not offended that you forgot to include the word "please". So don't worry about it anymore.

The R and Rsquare (aka R^2)statistics are basic quantities used in statistical analysis curve-fitting. They are explained in all elementary statistics books as well as Google.

With regard to characterizing a nonlinear curve-fitting model, R is the slope in the linear fit

output = R*target + bias

Hope this helps

Greg