AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks

S. K. Roy, M. E. Paoletti, J. M. Haut +4

Convolutional neural networks (CNNs) are trained using stochastic gradient descent (SGD)-based optimizers. Recently, the adaptive moment estimation (Adam) optimizer has become very…