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adjective Of, pertaining to, or causing convolution
Etymologies
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Examples
He was known for work involving something called convolutional neural networks, which he had developed for software that banks use to scan and read checks.
Algorithmic information theory; channel coding; coded modulation; complexity, information and entropy; complexity measures; convolutional coding; error-correcting codes; information theory and statistics; iterative decoding; LDPC codes; quantum information theory; quantum-theoretical aspects of coding; randomness and pseudo-randomness; relationships between codes and complexity; rate distortion theory; soft-decision decoding; source coding; source-channel coding; spreading sequences and CDMA; turbo codes.
Algorithmic information theory; channel coding; coded modulation; complexity, information and entropy; complexity measures; convolutional coding; error-correcting codes; information theory and statistics; iterative decoding; LDPC codes; quantum information theory; quantum-theoretical aspects of coding; randomness and pseudo-randomness; relationships between codes and complexity; rate distortion theory; soft-decision decoding; source coding; source-channel coding; spreading sequences and CDMA; turbo codes.
Algorithmic information theory; channel coding; coded modulation; complexity, information and entropy; complexity measures; convolutional coding; error-correcting codes; information theory and statistics; iterative decoding; LDPC codes; quantum information theory; quantum-theoretical aspects of coding; randomness and pseudo-randomness; relationships between codes and complexity; rate distortion theory; soft-decision decoding; source coding; source-channel coding; spreading sequences and CDMA; turbo codes.
Algorithmic information theory; channel coding; coded modulation; complexity, information and entropy; complexity measures; convolutional coding; error-correcting codes; information theory and statistics; iterative decoding; LDPC codes; quantum information theory; quantum-theoretical aspects of coding; randomness and pseudo-randomness; relationships between codes and complexity; rate distortion theory; soft-decision decoding; source coding; source-channel coding; spreading sequences and CDMA; turbo codes.
In their experiments, the students, led by professor Tom Li, discovered that the optimal number of layers for musical genre recognition was three convolutional (or "thinking") layers, with the first layer taking in the raw input data and the third layer outputting the genre data.
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