AI, Machine Learning, Neural Networks, Image Recognition, Image Processing.
the steepest path in terms of error reduction and takes small steps along that path. In technical terms, gradient descent calculates the gradient (or slope) of the network’s error with respect to each weight and bias. It then adjusts these weights and biases to minimize the error. By combining