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

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

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

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

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

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

AI model using deep transfer learning – the most advanced form of machine learning – predicted with 92% accuracy spoken language outcomes at one-to-three years after cochlear implants (implanted ...

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 ...

A study has found that the way medical images are prepared before analysis can have a significant impact on the performance of deep learning models.

Researchers at Osaka Metropolitan University developed models that classify X-ray images into specific body regions and ...