Gradient Descent is an iterative optimization algorithm used to find a minimum of a function. It is not granted to find the global minimum and it is sensitive to the initialization. Here we will ...

Gradient boosting machines construct an additive model of weak learners (regression trees) by performing gradient descent in function space. At each iteration, a tree is fit to the negative gradient ...

A universal Python toolkit for designing and fabricating MRI/NMR gradient coils using the Target Field Method (Turner, 1986). Given a bore size and gradient requirements, it computes wire winding ...

AI & Machine Learning Engineer | Deep Learning · Computer Vision · NLP · MLOps | TensorFlow · Scikit-learn · AWS | Cairo University AI Graduate | Transformers & End-to-End ML Pipelines ...