Mirror
Mirroring is a transformation that reverses an image or array along one or more dimensions to produce a reflected variant.
Deep Learning with JAX
An array or image transformation that reverses the order of elements along a chosen dimension.
- How it is used
- Applies horizontal image reversal during preprocessing and randomized data augmentation.
- How deep it goes
- Explains axis selection and provides slicing and NumPy alternatives, but does not develop implementation internals.
- Examples
- Uses a cat image, horizontal pixel reversal, and a cat-and-dog classification augmentation pipeline.
- What you can do after
- Apply it via array slicing or NumPy flip() to reverse an image dimension.
Deep Learning with PyTorch, Second Edition
An augmentation operation that flips an input to create a reflected variant.
- How it is used
- Uses reflection to expand training data while preserving a sample’s representative content.
- How deep it goes
- Explains axis choice, pixel preservation, random selection, and caching order, but defers broader augmentation mechanics.
- Examples
- Demonstrates up-down, left-right, and front-back flips, including randomized CT-axis flips in PyTorch.
- What you can do after
- Apply it via PyTorch augmentation code by randomly negating selected transformation-matrix axes.
Read how Deep Learning with PyTorch, Second Edition explains mirror →
Related concepts
- data augmentationused by · Data augmentation is the process of adding or deriving examples, variables, or associated information from existing data to increase its variety or support subsequent analysis or computation.
- indexingequivalent to · Indexing is the organization or use of positions, keys, or lookup structures to identify and retrieve selected data or elements.
- slicingequivalent to · Slicing selects or partitions a portion of an indexed sequence or multidimensional array, often along specified indices or dimensions.
- dimensioncontrasts with · A dimension is an independent coordinate, measurable axis, or descriptive attribute used to represent, locate, or analyze something.
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