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NHWC is an acronym describing the order of the axes in a tensor containing image data samples.

Software frameworks for training machine learning models–such as TensorFlow–use the acronym NHWC

  • N: Number of data samples.
  • H: Image height.
  • W: Image width.
  • C: Image channels. A red-green-blue (RGB) image will have 3 channels.

NHWC is sometimes referred to as a channels-last layout.