Optimization in machine learning is the process of updating weights and biases in the model to minimize the model’s overall loss. While backpropagating in the network, the weights and biases are updated. In this article, we will learn why there is a need for such an optimization technique, what is gradient descent optimization and at … Continue reading Gradient Descent Optimization Technique In Machine learning