Artificial neural networks are inspired ... it would be necessary to use a multi-layer network to classify the tumors. The previously mentioned back-propagation learning algorithm works for ...

The research team revealed that learning random information before learning actual data has the property of meta-learning, which is 'learning how to learn." It was shown that neural networks that ...

The seven decades of "artificial intelligence" have been marked by exaggerated promises, surprising developments and ...

More information: Adityanarayanan Radhakrishnan et al, Mechanism for feature learning in neural networks and ...

4. Fault Detection Model Development using AI Faults using sensor data can be detected by artificial intelligence techniques such as machine learning and neural networks. These techniques involve the ...

An artificial neural network is a deep learning model made up of neurons that mimic the human brain. Techopedia explains the full meaning here.

Even though machine learning AKA ‘deep learning ... However, to fully understand how a neural network (NN) works, [Dimitris Tassopoulos] has stripped the concept down to pretty much ...

Western researchers have developed a novel technique using math to understand exactly how neural networks ... in the field of machine learning. "We create neural networks that can perform specific ...