In the olden days, way back in the 1980s, machine learning referred almost exclusively to the to artificial intelligence tools of expert systems and deep ... Not All Optimization Is Local, But ...

The researchers focused their study on the approximation by deep networks of certain classes of multivariate functions ... deep learning’s approximation power, dynamics of optimization, and ...

Deep learning ... Some optimization algorithms also adapt the learning rates of the model parameters by looking at the gradient history (AdaGrad, RMSProp, and Adam). As with all machine learning ...

However, it is unclear whether deep learning could occur in the real brain. Here, we show that a deep learning algorithm that utilizes multi-compartment neurons might help us to understand how the ...

This study aims to predict the number of confirmed COVID-19 cases in Saudi Arabia using Bayesian optimization (BOA) and deep learning (DL ... DQN formulated a reward function to amplify the efficiency ...

Optimization for self-production may explain key ... that is shared by all life," Paulsson said. "It is important that we understand where the constraints on structure and function come from ...

With the improvement of global scientific and technological strength, and the step-by-step in-depth research on deep learning and computational intelligence optimization ... model with emotional ...