Noun:

ర్అప్, వారీగా, కౌల్,

convolution's Usage Examples:

This shows that the convolution filter can be described as a low-pass filter: the noise that is removed is primarily high-frequency noise and low-frequency noise passes through the filter.

architectures such as deep neural networks, deep belief networks, graph neural networks, recurrent neural networks and convolutional neural networks have been.

Some recent cellular deconvolution methods selected based on citations and publishing year.

"orphan" ligands whose targets are subsequently identified through target deconvolution.

research area in Earth sciences by establishing a parallelism between deconvolution and inversion, the two vital geophysical signal processing tools deployed.

such as deep neural networks, deep belief networks, graph neural networks, recurrent neural networks and convolutional neural networks have been applied.

In image processing, the free boundary condition is the convention used when applying a convolution kernel to a digital image in which pixel locations.

In mathematics, the Dirichlet convolution is a binary operation defined for arithmetic functions; it is important in number theory.

such as predictive deconvolution, Kalman filtering and deterministic deconvolution.

Areas considered improperly welded are identified from images evaluated by a convolutional neural network.

decoding allows convolutional codes to be maximum-likelihood soft-decision decoded with reasonable complexity.

of repeated application of convolutions, each followed by a rectified linear unit (ReLU) and a max pooling operation.

Synonyms:

occipital gyrus, gyrus, frontal gyrus, structure, temporal gyrus, central gyrus, cerebrum, parietal gyrus, body structure, complex body part, bodily structure, anatomical structure,

Antonyms:

narrowing, widening,