Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...

A new technical paper titled “Deep-learning atomistic semi-empirical pseudopotential model for nanomaterials” was published ...

RMSprop Optimizer Explained in Detail. RMSprop Optimizer is a technique that reduces the time taken to train a model in Deep ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...

The video presentation below, “Deep Learning – Theory and Applications” is from the July 23rd SF Machine Learning Meetup at the Workday Inc. San Francisco office. The featured speaker is Ilya ...

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...

A groundbreaking international study published in JAMA Otolaryngology-Head & Neck Surgery has demonstrated that Artificial ...