Client-server Protocol

Random Picks

• L2 Regularization: L2 regularization is a technique used in machine learning and deep learning to prevent overfitting of the model. It adds a penalty term to the loss function of the model, which is proportional to the square of the magnitude of the weights i ... Read More >>
• Visual Features: Visual features refer to the characteristics of an image or video that can be extracted and analyzed by computer algorithms. These features include color, texture, shape, and motion. In computer vision and image processing, visual features ... Read More >>
• Feature Selection: Feature selection is the process of selecting a subset of relevant features (variables, predictors) for use in model construction. It is an important step in the machine learning pipeline as it helps to improve model performance, reduce ove ... Read More >>