What makes different neurons calculate different parameters within a layer?

Hi @Rohit_Pandey1

welcome to the community and thanks for your question!

Here you can find an illustration that might be relevant for you:

You can see that each neuron has individual weights and bias that are learned by the neuron within the training process. These parameters are different for each neuron and they lead (via activation function) also to a different output of each neuron.

Best regards

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