Abstract: Quantum support vector machines have the potential to achieve a quantum speedup for solving certain machine learning problems. The key challenge for doing so is finding good quantum kernels ...
Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...
Abstract: In this work, we introduce a novel gradient descent-based approach for optimizing control systems, leveraging a new representation of stable closed-loop dynamics as a function of two ...
Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning.