MACHINE LEARNING

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APPLICATION OF SUPERVISED LEARNING

DEEP LEARNING

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
An artificial neural network tries to simulate the processes of densely interconnected brain cells, but instead of being built from biology, these neurons, or nodes, are built from ____
A
Code
B
Machine Learning
C
Either A or B
D
None of the above
Explanation: 

Detailed explanation-1: -Neural networks, also known as artificial neural networks (ANNs) or simulated neural networks (SNNs), are a subset of machine learning and are at the heart of deep learning algorithms. Their name and structure are inspired by the human brain, mimicking the way that biological neurons signal to one another.

Detailed explanation-2: -For one, human brains are far more complex and sophisticated than neural networks. Additionally, human brains are able to learn and adapt much more quickly than neural networks. Finally, human brains are able to generate new ideas and concepts, while neural networks are limited to the data they are given.

Detailed explanation-3: -An artificial neural network is an attempt to simulate the network of neurons that make up a human brain so that the computer will be able to learn things and make decisions in a humanlike manner. ANNs are created by programming regular computers to behave as though they are interconnected brain cells.

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