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.