Gradient Descent, Deep Learning, Machine Learning, Optimization Techniques, Artificial Intelligence.
corresponding output by adjusting its parameters (weights and biases) to optimize a cost or loss function. During this process, the weights can be optimally achieved through an iterative procedure that automatically adjusts the weights’ values to reach the minimum value of the loss function. The