What is NN structure?

[JBMing]

I did't find the information of neural network such as the number of layers and the neurons in each layer.Thus,can u explain the explicit information in readme?

[tambetm]

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 README seems outdated, but example.m should be OK.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.

[JBMing]

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?

[tambetm]

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.

[JBMing]

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 ?

[tambetm]

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.