Optimizers and loss functions are pivotal elements in the training process of a deep learning model. Loss functions, often referred to as cost functions, play a critical role in evaluating the model’s performance by quantifying the disparity between its predictions and the ground truth or actual values. Conversely, optimizers act as functions that dynamically adjust … Continue reading What are Optimizers and Loss Functions?