I have trained a Neural Network using a Matlab Neural Network Toolbox, particularly using the command nntool. The detection is basically for traffic sign and I have used a database of 90 traffic images(no-entry,no right and stop signs), each of 30 images of size 8*8 pixels of which no-entry signs are taken positive. My input is 64*90 and target as 1*90. Now, I need to use this neural network in Python for real-time recognition. What parameters do I need? I am completely new to neural networking.Here's the link to an image Here's my link to the weights
First you need to take the weights of your neural network. An example:
[x,t] = simplefit_dataset; net = feedforwardnet(20); net = train(net,x,t); wb = getwb(net)
Then I also suggest that you read on ANN structure, this will help you understand how the output of a neural network is calculated, given the weights. Then you can adapt it to your own needs and using that calculate an output in Python.