how it worksEssential building blocks of artificial intelligence (AI) systems
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Neurons and Layers
A neural network consists of interconnected nodes called neurons. Neurons are organized into layers.
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Activation Function
Each neuron applies an activation function to the weighted sum of its inputs and produces an output
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Feedforward Process
The inputs are multiplied by their respective weights, summed up, and passed through the activation function.
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Payment method
And passed through the activation function. The inputs are multiplied by their respective weights, summed up
05
[ step ]
Activation Function
Each neuron applies an activation function to the weighted sum of its inputs and produces an output

