you can define the model as a function of the form[Y1,...,YM] = model(parameters,X1,...,XN), whereparameterscontains the network parameters,X1,...,XNcorresponds to the input data for theNmodel inputs, andY1,...,YMcorresponds to theMmodel outputs. To train a deep learning model d...
This example shows how to create aproject and reshapelayer, which is a layer commonly used in generative adversarial networks (GANs) that takes an array of noise with format'CB'(channel, batch) and projects and reshapes it to a mini-batch of images with format'SSCB'(spatial, sp...
For stateful layers, such as recurrent layers, declare the layer state parameters in theproperties (State)section of the class definition. If the learnable parameter is adlnetworkobject that has both learnable and state parameters (for example, adlnetworkobject that contains an LSTM layer), then y...
For stateful layers, such as recurrent layers, declare the layer state parameters in theproperties (State)section of the class definition. If the learnable parameter is adlnetworkobject that has both learnable and state parameters (for example, adlnetworkobject that contains an LSTM layer), then y...