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artificial neural network

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A neural network is a method in artificial intelligence that teaches computers to process data in a way that is inspired by the human brain. It is a type of machine learning process, called deep learning, that uses interconnected nodes or neurons in a layered structure that resembles the human brain.

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ANN



CHAPTER 1
INTRODUCTION OF ARTIFICIAL NEURAL NETWORK


Deep Learning which a subset of Machine Learning is the human brain embedded
in a machine. It is inspired by the working of a human brain and therefore is a set
of neural network algorithms which tries to mimics the working of a human brain
and learn from the experiences.

The idea of ANNs..?
NNs learn relationship between cause and effect or organize large volumes of
data into orderly and informative patterns




Figure: 1

Artificial Neural Network
Neural Networks is a computational learning system that uses a network of
functions to understand and translate a data input of one form into a desired
output, usually in another form. The concept of the artificial neural network was
1

, ANN


inspired by human biology and the way neurons of the human brain function
together to understand inputs from human senses.

In simple words, Neural Networks are a set of algorithms that tries to recognize
the patterns, relationships, and information from the data through the process
which is inspired by and works like the human brain/biology.

Neural networks to the rescue…

Neural network: information processing paradigm inspired by biological nervous
systems, such as our brain.

Structure: large number of highly interconnected processing elements (neurons)
working together.

Like people, they learn from experience (by example).



Inspiration from Neurobiology




Figure: 2

2

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