what is artificial neural network

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What is Artificial Neural Network ?
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Table Of Content

1. What is Artificial Neural Network?
2. Why is Artificial Neural Network Important?
3. How Does Artificial Neural Network Work?
4. Applications of Artificial Neural Network

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What is Artificial Neural Network?
The definition of Artificial Neural Network
comes from neural networks in biology that make
the human brain's shape. Artificial neural
networks include transistors connected in
various groups of networks, much like the brain
of humans, which has transistors that are
related to each other. The nodes are the term
for these cells.
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Why is Artificial Neural Network Important?
Machines are capable of making intelligent
decisions with minimal human intervention,
thanks to artificial neural networks. This is
why they can develop and predict complicated
nonlinear connections between data from both
input and output.
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How Does Artificial Neural Network Work?
An artificial intelligence method called the
neural network requires computers to analyze
data modeled after a person's brain. Deep
learning is machine learning that employs
interconnected neurons or nodes in a layered
framework to imitate how human brains work.
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Applications of Artificial Neural Network
The applications for artificial neural networks
include recognition of speech, automatic
translation, image identification, and
healthcare diagnosis. A vital benefit of
artificial neural networks is that they learn
from data from model sets. A random
approximation of operations is a widespread use
of artificial neural networks.
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