The most fundamental unit of a neural network is Neuron (aka node)
In the diagram below, the neurons are represented by circles. They are inspired from the working of a human brain. Each neuron takes some input information, do some maths and then decides whether to pass that information to the next neuron or not. The neurons are connected to each other forming a communication channel to send information to each other.
There is a connection (represented by arrows in the attached image) between two neurons and this connection has a strength called weights. Based on the value of this weight, it is decided how much a neuron will listen to the information provided by the other neuron in that connection. During training of neural networks, these weight parameters are adjusted to provide better insights or to recognize better patterns from the data.
All the neurons work together as a team to provide an optimal solution of the problem at hand. Individually, a neuron doesn't have much value. But together, as a group, neurons have the capability of providing solutions to some complex problems.
✅ Summary:
1. Neurons act like input receivers. They take data in the form of numbers, pictures, text etc.
2. Neurons act like information processors. They take the input and perform some mathematical calculations which is important for further steps.
3. Neurons act like decision makers. If the result of mathematical calculations performed by a neuron is above a certain threshold, it sends the information to the next neuron, otherwise, it doesn't pass any information. This way, it decides whether a piece of information is important for the results or not.
4. Neurons work together as a team for solving complex problems by optimizing their communication strengths (weights) during training.
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-Kavita
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The next article should show how neural nets are calculated, then show real life sexy