batch gradient descent

CellStrat > Research/Blog > batch gradient descent
18
Aug
Convergence in a Neural Network

Convergence refers to the point in machine learning training where ideal weights have been discovered and cost function minimized. But this is, at times, plagued by issues of local minima and slow learning. Here Mini-batch gradient descent comes handy, which combines the advantages of batch gradient learning as well as stochastic gradient descent. The process […]

Posted in: Deep Learning, Machine Learning,
Tags: AI, ANN, artificial intelligence, batch gradient descent, convergence, cost minima, deep learning, global minima, learning rate, local minima, machine learning, mini-batch gradient descent, ML, neural networks, stochastic gradient descent,
27
Nov
#AIBytes – Stochastic vs Batch Gradient Descent
Posted in: Machine Learning,
Tags: ANN, backpropagation, batch gradient descent, gradient descent, how ANNs learn, linear regression, neural network, Regression, stochastic gradient descent,