🤖 Using convolutions 🧠 With brain folds

convolutional

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Relating to a math operation used in computer models to find image patterns

adjective
/ˌkɒnvəˈluːʃənl/

Specialized

: convolucional

And what Jim and Dan did was actually train deep convolutional networks on the same sort of task that humans performed in in visual object classification.
convolutional neural
convolutional neural network

Examples

At the very end, if the task is classification, you have a stack of convolutional layers and pooling layers.
Specifically, we use the features from the last convolutional layer (conv5-4) of the VGGNet-19 (Simonyan and Zisserman 2015) as in Ma et al. (2015a).

Academic text (2018)
Question from participant Where does a convolutional network fall in the scheme of things?
They're they're things that do convolutional networks over one thing or another.
It added a parameter to each channel in the convolutional layer in the convolutional block.
So picture like an Atari screen and that goes through a couple of sets of layers of convolutional neural network.
Deep features learned from convolutional neural networks (CNNs) have recently been applied to numerous vision problems (Krizhevsky et al. 2012; Girshick et al. 2014; Long et al. 2015).

Academic text (2018)
Convolutional neural networks can improve the accuracy of image recognition tasks significantly.
Researchers are exploring how convolutional techniques can enhance data analysis in machine learning.
The advancement of convolutional structures has revolutionized the field of artificial intelligence.

Surface Forms

convolutional positive

Morphology

convolutional = convolution (semi-transparent) = convolve + tion + al

The word transparently means 'relating to convolution', but the mathematical and machine-learning sense is specialized rather than everyday.

Etymology

Convolutional comes from the Latin parts con- ('together') and volvere ('to roll'), giving the idea of 'folding' or 'rolling' things together. In math and neural networks, a convolutional process 'rolls' one set of numbers over another to mix them and find patterns, so the name helps you remember it is a way to combine inputs to get new features.