class_docstr: Layer expects image as an input with second dimension
  sepcified as a channel. Image will be sliced over the channel.
  The ``from`` and ``to`` indices can be specified as the parameters.
  
  Parameters
  ----------
  from_channel : int
      From which channel we will start slicing.
  
  to_channel : int
      To which channel we will be slicing. This layer won't be
      included in the output.
  
  {BaseLayer.name}
code: def __init__(self, from_channel, to_channel, name=None):
      self.from_channel = from_channel
      self.to_channel = to_channel
      super(SliceChannels, self).__init__(name=name)
  
file_path: neupy/examples/cnn/alexnet.py
imports: import tensorflow
  from neupy.layers import *
label_desc: Use image node_id 1 to create a new SliceChannels object from inherited base classes: BaseLayer with example: obj = SliceChannels(from_channel, to_channel, name)