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==Explain Like I'm 5 (ELI5)==
==Explain Like I'm 5 (ELI5)==
A hidden layer is like a secret room inside an enormous house. From outside, we can only see its front door (input layer) and backdoor (output layer), but what lies within is invisible - that's where the hidden layer exists. Although not easily seen, its presence helps the house understand more about what lies outside, Just like how the hidden layer helps the neural network know more about the relationships between input data and its [[label]].
A hidden layer is like a secret room inside an enormous house. From outside, we can only see its front door (input layer) and backdoor (output layer), but what lies within is invisible - that's where the hidden layer exists. Although not easily seen, its presence helps the house understand more about what lies outside, Just like how the hidden layer helps the neural network know more about the relationships between input data and its [[label]].
==Explain Like I'm 5 (ELI5)==
Hello there! Do you understand what a computer is? This amazing machine allows us to do many different things, like playing games and looking up information.
Sometimes, we want the computer to solve problems for us on its own. To teach it this skill, we can give it examples of what we want it to learn - this process is known as machine learning!
Machine learning uses something called a neural network. Imagine it as an enormous pile of legos, each representing one piece of information. The neural network consists of different layers, each connecting the legos in different ways to help the computer figure out what we want it to learn.
The hidden layer is an invisible component of a neural network that links together lego pieces without us knowing. This allows the computer to process information more effectively and make better guesses as to what we want it to learn from us.
The hidden layer is an important aspect of computer technology that facilitates learning by connecting pieces of data together in a secret manner.




[[Category:Terms]] [[Category:Machine learning terms]]
[[Category:Terms]] [[Category:Machine learning terms]]
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