class_docstr: InceptionTime adapted from the implementation from Fawaz et al.
  
  https://github.com/hfawaz/InceptionTime/blob/master/classifiers/
  inception.py
  
  Network originally defined in:
  
  @article{IsmailFawaz2019inceptionTime, Title                    = {
  InceptionTime: Finding AlexNet for Time Series Classification}, Author
                  = {Ismail Fawaz, Hassan and Lucas, Benjamin and
                  Forestier, Germain and Pelletier, Charlotte and Schmidt,
                  Daniel F. and Weber, Jonathan and Webb, Geoffrey I. and
                  Idoumghar, Lhassane and Muller, Pierre-Alain and
                  Petitjean, François}, journal                  = {
                  ArXiv}, Year                     = {2019} }
code: def _shortcut_layer(self, input_tensor, out_tensor):
      from tensorflow import keras
  
      shortcut_y = keras.layers.Conv1D(
          filters=int(out_tensor.shape[-1]),
          kernel_size=1,
          padding="same",
          use_bias=False,
      )(input_tensor)
      shortcut_y = keras.layers.BatchNormalization()(shortcut_y)
  
      x = keras.layers.Add()([shortcut_y, out_tensor])
      x = keras.layers.Activation("relu")(x)
      return x
  
imports: from sktime.networks.base import BaseDeepNetwork
  from sktime.utils.validation._dependencies import _check_dl_dependencies
label_desc: Use image node_id 3 for calling the InceptionTimeNetwork obj's underlying member method code with example usage: obj._shortcut_layer(input_tensor, out_tensor) and returns: x