The error you're encountering, "Invalid training data. Predictors and responses must have the same numbers of observations," is occurring because the XTrain and YTrain data you're providing to trainNetwork are not compatible in terms of their dimensions.
In your code, you defined XTrain and YTrain as cell arrays, which contain two sets of inputs and one set of outputs. This means you're trying to train a neural network with two separate input branches. However, when using trainNetwork for regression, you typically provide a single input and a single output, not cell arrays.
To fix this issue and train your network, you should concatenate your input data along the appropriate dimension and reshape your output data if necessary. Here's how you can modify your code:
% Combine the two input sets into one
XTrainCombined = cat(1, XTrain{1}, XTrain{2});
% Concatenate the two sets of outputs
YTrainCombined = cat(1, YTrain{1}, YTrain{1});
% Train the network with the combined data
net = trainNetwork(XTrainCombined, YTrainCombined, lgraph, options);
This code combines your two sets of input data and two sets of output data into single matrices that can be used for training. Make sure that XTrainCombined and YTrainCombined have the same number of observations, which should be nobs in your case.
Once you make this change, the training should proceed without the error.
Regarding documentation, MATLAB's official documentation is an excellent resource for learning about neural networks and their training in MATLAB. You can refer to the following documentation pages:
- Deep Learning with MATLAB - This is the starting point for deep learning in MATLAB.
- Train Deep Learning Networks in MATLAB - This page provides detailed information on training deep learning networks, including various options and techniques.
- Deep Learning Toolbox Documentation - This is the comprehensive documentation for MATLAB's Deep Learning Toolbox, which covers various aspects of deep learning, including network design, training, and deployment.
You can explore these resources to gain a deeper understanding of how to work with neural networks in MATLAB.
I hope this helps
