Artificial Intelligence, Neural Networks, Calculus, Gradient Descent, Math.
derivative in order to get one step closer to minimizing our loss function: Image 24: Gradient descent function Here, η represents the learning rate, which we as programmers can set. The larger the learning rate, the bigger the step. However, setting a too-large learning rate may result in taking