neural networks

Meanings

• noun

  A type of artificial intelligence model designed to recognize patterns. It is modeled loosely after the human brain, consisting of interconnected processing nodes, or neurons.

  - "The neural network was able to accurately identify handwritten digits."
  - "Neural networks are commonly used in image recognition and speech recognition tasks."

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Synonyms

neural net

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Variants

List of all variants of neural networks that leads to same result
neural net , neural network , neural networks

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Etymology

origin and the way in which meanings have changed throughout history.

Neural networks take their name from the neurons in the human brain and the interconnected networks of neurons that form the basis of the brain's function.

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Trivia

Any details, considerations, events or pieces of information regarding the word

1. Neural networks were first developed in the 1940s, but it wasn't until the 1980s that they gained widespread popularity due to advances in computing power and training algorithms.

2. Neural networks can be trained on large datasets using a technique called deep learning, which allows them to learn and extract features from the data automatically.

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Related Concepts

informations on related concepts or terms closely associated with the word. Discuss semantic fields or domains that the word belongs to

1. Deep Learning: A subset of neural networks that consists of multiple hidden layers and is capable of learning and extracting features from large datasets.

2. Backpropagation: A popular algorithm used to train neural networks by adjusting the weights of the neurons based on the error of the network's output.

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Culture

Any cultural, historical, or symbolic significance of the word. Explore how the word has been used in literature, art, music, or other forms of expression.

Neural networks have been a topic of fascination in science and popular culture since their inception. They have been featured in numerous works of literature, art, and music. In literature, neural networks have been used as a metaphor for the human mind and its ability to learn and adapt. In art, they have been depicted as complex, interconnected webs of neurons. In music, they have been referenced in songs and album titles.

How to Memorize "neural networks"

1. visualize
   

   - To visualize a neural network, imagine a large, interconnected web of neurons. Each neuron receives input from other neurons, processes that input, and sends output to other neurons. The connections between neurons are represented by weights, which can be adjusted during training to improve the network's performance.
   - To visualize the training process of a neural network, imagine the network making a prediction, receiving an error, and then adjusting the weights of the connections between neurons to reduce that error.

2. associate
   

   - Associate neural networks with the human brain and its ability to learn and adapt.
   - Associate neural networks with complex, interconnected webs of neurons.

3. mnemonics
   

   - Use the acronym 'ANN' to remember that Artificial Neural Networks are modeled after the human brain.
   - Use the mnemonic 'Weights, Biases, Activation' to remember the three main components of a neuron in a neural network.

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