The gradient descent algorithm is a type of optimization algorithm that is widely used to solve machine learning algorithm model parameters. Through continuous iteration, it obtains the gradient of ...

Here we use cryogenic electron microscopy to determine the structure of TbAQP2 from Trypanosoma brucei, bound to either the substrate glycerol or to the sleeping sickness drugs, pentamidine or ...

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

How to evaluate and compare gradient descent methods? Gradient descent is a popular optimization algorithm for training artificial neural networks (ANNs).

Recovering the amplitude and phase information of a sample from ptychographic diffraction data using the gradient descent method. - Releases · CLDeng02/Ptychography-imaging-Gradient-descent ...

A collection of important graph embedding, classification and representation learning papers with implementations.