Abstract: Gradient descent algorithms are widely considered the primary choice for optimizing deep learning models. However, they often require adjusting various hyperparameters, like the learning ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you’ve ever built a predictive model, worked on a ...

Abstract: The online recommendation of trade resources has further driven the demand for efficient recommendation algorithms, and gradient descent algorithm, as a powerful optimization tool, is widely ...