Reference for RPROP. Search for RPROP

AI searches containing RPROP

RPROP

Rprop

Learning heuristic for supervised learning

Rprop, short for resilient backpropagation, is a learning heuristic for supervised learning in feedforward artificial neural networks. This is a first-order

Rprop

History of artificial neural networks

accelerated by GPUs and shown to perform better than other pooling variants. Rprop (short for "resilient backpropagation") is a first-order optimization algorithm

History of artificial neural networks

History_of_artificial_neural_networks

Feedforward neural network

Type of artificial neural network

function. Feed forward (control) Feedback neural network Hopfield network Rprop Ferrie, C., & Kaiser, S. (2019). Neural Networks for Babies. Sourcebooks

Feedforward neural network

Feedforward_neural_network

Stochastic gradient descent

Optimization algorithm

rate in different applications. RMSProp can be seen as a generalization of Rprop and is capable to work with mini-batches as well opposed to only full-batches

Stochastic gradient descent

Stochastic_gradient_descent

List of artificial intelligence algorithms

machine Repeated incremental pruning to produce error reduction (RIPPER) Rprop Self-organizing map Skill chaining Sparse PCA Stochastic gradient descent

List of artificial intelligence algorithms

List_of_artificial_intelligence_algorithms

Gradient descent

Optimization algorithm

Backtracking line search Conjugate gradient method Stochastic gradient descent Rprop Delta rule Wolfe conditions Preconditioning Broyden–Fletcher–Goldfarb–Shanno

Gradient descent

Gradient_descent

Vanishing gradient problem

Machine learning model training problem

standard backpropagation. Behnke relied only on the sign of the gradient (Rprop) when training his Neural Abstraction Pyramid to solve problems like image

Vanishing gradient problem

Vanishing_gradient_problem

Outline of machine learning

Overview of and topical guide to machine learning

learning Repeated incremental pruning to produce error reduction (RIPPER) Rprop Rule-based machine learning Self-organizing map Skill chaining Sparse PCA

Outline of machine learning

Outline_of_machine_learning

Encog

Machine learning framework

(RSOM) Self Organizing Map (Kohonen) Backpropagation Resilient Propagation (RProp) Scaled Conjugate Gradient (SCG) Levenberg–Marquardt algorithm Manhattan

Encog

Hyper basis function network

HyperBF Networks: Regularization by Explicit Complexity Reduction and Scaled Rprop-Based Training". IEEE Transactions of Neural Networks 2:673–686. F. Schwenker

Hyper basis function network

Hyper_basis_function_network