Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test accuracy is very low, the model highly overfits the training dataset set ...

Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...

New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...

AI systems may not need vast amounts of training data to begin behaving more like the human brain, according to new research ...