You have a couple of options to acquire the underlying structure for further use, once you have trained your neural network:
- Use the view function to check the structure of your neural net. You can access the weight and bias values directly. Using the same notation that you used above, the input weights can be found via net.IW. Likewise, the layer weights and biases can be found via net.LW and net.b, respectively. If you understand the structure of your neural net, reconstruction should hopefully be fairly straightforward!
- Using the gensim command, you can create a Simulink block diagram of the neural network model. Since this is a most visual method of inspecting your trained network, the Simulink model might give you a more intuitive feel for how your model works.
Good luck!
