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What is another word for convolutions?

Pronunciation: [kɒnvəlˈuːʃənz] (IPA)

Convolution is a complex term that is not easily interchangeable with simpler words, yet there are certain synonyms which can be used to convey a similar meaning. Some of the synonyms of convolutions include twists, turns, coils, spirals, and undulations. These words are most commonly used to describe winding or twisting movements, whereas convolution has a more specific meaning typically used in reference to the anatomical structure of the brain or similar structures. Despite this specificity of meaning, it's important to remember that there are a range of synonyms and alternative words that can still convey a powerful sense of complexity, intricacy, or entanglement.
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Synonyms for Convolutions:

What are the hypernyms for Convolutions?

A hypernym is a word with a broad meaning that encompasses more specific words called hyponyms.

Usage examples for Convolutions

The extremity of the sombre church was of dazzling old gold, with a profusion of twisted columns, of complicated entablements, of statues with excessive convolutions and with draperies in the style of the Spanish Renaissance.
"Ramuntcho"
Pierre Loti
Nor, if the brain itself be examined after death, and the form and number of its convolutions compared, is this criterion of hereditary brain-power any more satisfactory.
"The Black Man's Place in South Africa"
Peter Nielsen
If then we find a fairly large brain in the Piltdown man, with an arrangement and development of convolutions not very unlike those of a modern man, we shall be justified in drawing the conclusion that, so far as potential mental ability is concerned, he has reached the modern standard.
"The Black Man's Place in South Africa"
Peter Nielsen

Famous quotes with Convolutions

  • The mind is like a richly woven tapestry in which the colors are distilled from the experiences of the senses, and the design drawn from the convolutions of the intellect.
    Carson McCullers
  • My eye came to rest on the delicate convolutions of her ear-those intricate, perfect ears. The thought passed through my mind: "No, those ears were not created by any chance coming together of atoms in nature (the Communist view). They could have been created only by immense design." (p. 16)
    Whittaker Chambers
  • I am, somehow, less interested in the weight and convolutions of Einstein’s brain than in the near certainty that people of equal talent have lived and died in cotton fields and sweatshops.
    Stephen Jay Gould
  • Recently I was visited by a very good friend who had just returned from a long walk in the woods, and I asked her what she had observed. “Nothing in particular,” she replied. I might have been incredulous had I not been accustomed to such responses, for long ago I became convinced that the seeing see little. How was it possible, I asked myself, to walk for an hour through the woods and see nothing worthy of note? I who cannot see find hundreds of things to interest me through mere touch. I feel the delicate symmetry of a leaf. I pass my hands lovingly about the smooth skin of a silver birch, or the rough, shaggy bark of a pine. In spring I touch the branches of trees hopefully in search of a bud, the first sign of awakening Nature after her winter’s sleep. I feel the delightful, velvety texture of a flower, and discover its remarkable convolutions; and something of the miracle of Nature is revealed to me.
    Helen Keller
  • But how much are the delicate convolutions of the brain influenced by the digestive apparatus? When the seizes me I, Hercule Poirot, am a creature with no grey cells, no order, no method — a mere member of the human race somewhere below average intelligence!
    Agatha Christie

Related words: convolutional neural network, convolutional layers, convolutional filters, convolutional network, convolutional layer, convolutional filter

Related questions:

  • What is a convolutional neural network?
  • What is a convolutional layer?
  • What is a convolutional filter?
  • What is the difference between a convolutional neural network?

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