Machine Learning Glossary
Machine Learning, Computer Vision, and Computer Graphics Glossary
C
- Convolutional neural network or CNN - A neural network architecture for image data, or other data on a regular grid.
D
- Dilation - how spread out a CNN kernel is. See Convolutional neural network.
F
- Fully connected network - The standard neural network model where each layer is a sequence of nodes.
G
- Graph Neural Network
I
- Intersection over Union - A metric for computing the accuracy of bounding box prediction.
M
- Multilayer perceptron - See Fully connected network.
N
- Normalized Device Coordinates - In images, pixels are in coordinates of \(\displaystyle [-1, 1]\times[-1, 1] \).
S
- Stride - how far the CNN kernel in terms of input pixels moves between output pixels.
T
- Transformer (machine learning model) - A neural network architecture for sequence data.