code: public List<INDArray> feedForward(INDArray input, boolean train) {
          setInput(input);
          return feedForward(train);
      }
docs: Compute all layer activations, from input to output of the output layer.
  Note that the input is included in the list: thus feedForward(in,train).get(0) is the inputs,
  .get(1) is the activations of layer 0, and so on.
  
  @param train Training: if true, perform forward pass/inference at training time. Usually, inference is performed
  with train = false. This impacts whether dropout etc is applied or not.
  @return The list of activations for each layer, including the input