Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
I have a question. I want to transplant a simple LSTM adder, or a simple LSTM regression model to the simulink. Could you please tell me if there are any specific examples?
ShirleyGuo
commented
6 years ago
I have a question. I want to transplant a simple LSTM adder, or a simple LSTM regression model to the simulink. Could you please tell me if there are any specific examples?