What is NN structure? about matlab2048 HOT 5 CLOSED

Currently the NN has only fully connected layers. The sizes of hidden layers are passed to NNAgent constructor as opts.layers parameter. For example opts.layers = [1000]; creates one hidden layer with 1000 nodes, opts.layers = [256 256]; creates two hidden layers with 256 nodes each. README seems outdated, but example.m should be OK. Will fix it ASAP.

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Do you mean just one fully connected layers and not have convolutional layer?
Besides, I am confused by the readme and don't how execute the code.
Whether should I install some other environment?

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You can have several fully connected layers by including many numbers in list, i.e. opts.layers = [256 256]. But no convolutional layers.

I would suggest to check out example code in https://github.com/tambetm/matlab2048/blob/master/example.m, that should work.

You need to check out DeepLearnToolbox from GitHub as suggested in README. No other packages are needed.

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I am trying to modify the algorithm of weight updation.
But I have question for the code.
Where is the code that achieve back=propagation and gradient descent ?
Could u tell me ?

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Backpropagation and gradient descent are implemented in DeepLearnToolbox. I'm using my own fork, which has some minor modifications, not relevant to this project AFAIK. The backpropagation is implemented in NN/nnff.m, NN/nnbp.m and NN/nnapplygrads.m.

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