Can I use the neural network toolbox to train and test customized feed-forward networks?
1 view (last 30 days)
Show older comments
Hi,
I am using the neural network toolbox for classification tasks. In the toolbox, we can customize the # of input nodes (input feature dimension), the # of output nodes (# of targeting classes) and the # of hidden layers. The default network is a feed-forward network that each of the node in a hidden layer is connected to all the nodes in the hidden layer above it and below it. I would like to define my own network with customized connections. It is still a feed-forward network, however, I'd like to remove some of the connections. For example, a network like this, where the # number of nodes in each hidden layer may vary and the adjacent hidden layers may not be fully connected with each other:
Can I use the neural network toolbox or functions in the neural network toolbox to train and test a model like this? I have my own data set that I believe would work well with my customized model.
Thank you very much,
Qing
3 Comments
Answers (1)
See Also
Categories
Find more on Image Data Workflows in Help Center and File Exchange
Products
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!