Thursday, July 9, 2020

Functioning of Neural Networks

Functioning of Neural Networks

What you do when you touch something which is hot? We remove our hand, of course. That’s obvious, isn’t it? But, I have not specifically told you how much it is hot (the temperature). Nor, I have tried to access the extent of tolerance of heat of your skin (sensory inputs). 

Now your answer may not be a straight yes that I remove my hand when I touch something hot. It depends on the extent of hotness (remember it as a degree) and the sensitivity (tolerance of your skin layers towards hotness, remember this as a trigger). 

Now take the case of a machine. 

We give stimulus in the input layer, assign a degree (call it weight) to the input, provide some predetermined function to the hidden layer (call it activation function) and then analyze the result produced in the output layer.

 For multiple inputs, a weighted sum is passed to the hidden layers. That’s ok. But, how the machine does decide which decision to take. 

Well, that depends on which neurons are triggered based on the activation function and the weights. We will take up the discussion in the Activation Function. 

If You are interested to know more about Neural Networks, You can mail to smartsubu2020@gmail.com.

SMART SUBU

Author & Editor

Prof. (Dr) Subroto Chowdhury is a Data science and Technology Enthusiast, Independent Research Practitioner, Education Change Motivator, Ethical Investment Advisor and Analytics Consultant.Analytical Exposition interests him as an instrumentation process to make objective understanding of the complex Phenomenon and other decisions. He believes in making education more affordable, easy and pragmatic.

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