We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

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

In this video, we will understand all major Optimization in Deep Learning. We will see what is Optimization in Deep Learning ...

The December 2019 issue of Nature Methods features a focus on Deep Learning in Microscopy. In this web collection, related content featured in the Nature journals is highlighted to celebrate these ...

In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...

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

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

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

Researchers suggest that MultiCell could potentially be used to discern early patterns of disease, such as in asthma.

Machine learning and deep learning are both parts of artificial intelligence, but they work in different ways — like a smart student versus a super-specialised ...