This repository contains an implementation of gradient descent for linear regression using Python. The purpose of this project is to demonstrate how gradient descent can be used to optimize a simple ...
SVGD is a general purpose variational inference algorithm that forms a natural counterpart of gradient descent for optimization. SVGD iteratively transports a set of particles to match with the target ...
Deep Learning with Yacine on MSN
Gradient descent from scratch in Python – step by step tutorial
Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...
Gradient Boosting Decision Tree (GBDT) is a popular machine learning algorithm. It has quite effective implementations such as XGBoost as many optimization techniques are adopted from this algorithm.
Deep Learning with Yacine on MSN
How to implement stochastic gradient descent with momentum in Python
Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning.
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