The neural network can be described as follow,
y = f (x ; θ)
where,
x input
y output
θ the parameters that best describe the function by minimizing some loss function L (y ; y ̂)
y ̂ the estimated output
Walid Ghanem
what is theta and x could you define what you want first?
theta I think is just random weight to connect a neuron to another , f is an activation function.
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