Login / Signup
Improved training of deep convolutional networks via minimum-variance regularized adaptive sampling.
Alfonso Rojas Domínguez
S. Ivvan Valdez
Manuel Ornelas-Rodríguez
Martín Carpio
Published in:
Soft Comput. (2023)
Keyphrases
</>
adaptive sampling
minimum variance
deep learning
monte carlo
random sampling
deep belief networks
restricted boltzmann machine
spectral estimation
supervised learning
linear prediction
network design