What is a neural network and its fundamentals? | in Urdu/ Hindi
Channel: Codanics
Date: 2022-12-25

#python #datascience #machinelearning 
Welcome to our video on neural networks! In this video, we will be exploring what neural networks are and their fundamental principles.

A neural network is a type of machine learning algorithm that is inspired by the structure and function of the human brain. It is composed of layers of interconnected "neurons," which are mathematical units that process and transmit information.

The fundamental principle behind neural networks is the concept of "training." This involves feeding the network a large amount of data and adjusting the connections between the neurons based on the results of the data processing. Through this process, the neural network is able to learn and make predictions or decisions based on new input.

Neural networks are used in a wide range of applications, including image and speech recognition, natural language processing, and even self-driving cars. They have the ability to process and analyze vast amounts of data and can make complex decisions in real-time.

In summary, a neural network is a type of machine learning algorithm that is inspired by the human brain and uses the principle of training to learn and make predictions based on data input. We hope you enjoyed this brief introduction to neural networks and their fundamentals.

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