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Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple.
The gradient descent bit-flipping with momentum (GDBF-w/M) and probabilistic GDBF-w/M (PGDBF-w/M) algorithms significantly improve the decoding performance of the bit-flipping (BF) algorithm. In this ...
Distributed gradient descent algorithms have come to the fore in modern machine learning, especially in parallelizing the handling of large datasets that are distributed across several workers.
Ruder, S. (2017) An Overview of Gradient Descent Optimization Algorithms. arXiv 1609.04747.
A Python script with an AI algorithm that solves a 2D maze using the A* search algorithm - but, with specific movement constraints, to really force the AI earn its way out of the maze. This time, ...
Gradient Descent with Momentum is a sophisticated enhancement of the basic Gradient Descent algorithm. It incorporates a momentum term that helps to accelerate convergence by damping oscillations, ...
Tutorials of data science concepts and packages in Python - python-tutorials/Linear Regression/Linear Regression with Gradient Descent.ipynb at master · ozzieliu/python-tutorials ...