Lesson 07 – A softer perceptron, part III: gradient descent
Alfredo Canziani (冷在)
In this lesson, the focus shifts from the hard perceptron to a "softer" version capable of handling probabilistic outputs through gradient descent. The core concept introduced is the loss function, specifically binary cross-entropy, which quantifies how poorly the current weights perform on a given …