Biological Neuron vs. Artificial Neuron (Perceptron with Sigmoid Activation)
A biological neuron receives input signals through dendrites, integrates them at the cell body (soma/nucleus), and fires an output signal along the axon if the combined input exceeds a threshold.
Mathematically, this is modeled as an artificial neuron:
> Multiple inputs X₁, X₂, …, Xₙ are multiplied by their respective weights W₁, W₂, …, Wₙ.
> The weighted sum is adjusted by a bias term B:
Z = Σ WᵢXᵢ - B
> A nonlinear activation function (here the sigmoid) is applied:
Output = 1 / (1 + e^(-Z))
This produces a smooth output signal between 0 and 1, mimicking the neuron’s firing behavior in a differentiable way suitable for machine learning.
@VaiNabar Minha sorte é que eu estava com o pessoal do trabalho. Eles notaram que eu não estavam bem e que os dois caras estavam tentando me separar do grupo e botaram eles pra correr.
@VaiNabar Espero que vocês fiquem bem. 🙏🏻
Já passei por algo parecido no Rio. Fui com uns amigos do trabalho comemorar a formatura de uma colega, na boate Zero1. Lá dois caras se inturmaram com o nosso grupo. Sem maldar aceitei um pouco da bebida do copo de um deles. Passei mal demais.
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