Artificial Intelligence, Neural Networks, Calculus, Gradient Descent, Math.
activation) is: Image 2: Our neuron function Where it takes x as an input, multiplies it with weight w, and adds a bias b. This function is really a composition of other functions. If we let f(x)=w∙x+b, and g(x)=max(0,x), then our function is neuron(x)=g(f(x)). We can use the vector chain rule to