Optimizing Deep Neural Networks through Neuroevolution with Stochastic Gradient Descent.
Haichao ZhangKuangrong HaoLei GaoBing WeiXue-Song TangPublished in: CoRR (2020)
Keyphrases
- stochastic gradient descent
- neural network
- artificial neural networks
- least squares
- matrix factorization
- loss function
- step size
- random forests
- importance sampling
- support vector machine
- genetic algorithm
- multiple kernel learning
- training process
- regularization parameter
- online algorithms
- image sequences
- cross validation
- convergence speed
- machine learning