Classification neural networks used for feature categorization are very similar to fault-diagnosis networks, except that they only allow one output response for any input pattern, instead of ...

Dr. James McCaffrey of Microsoft Research says a neural network model is arguably the most powerful multi-class classification technique. A multi-class classification problem is one where the goal is ...

An image classification neural network is a computational model inspired by the structure and function of the human brain, particularly the visual cortex. By leveraging layers of interconnected ...

Neural network take large number of training examples as input and develop a system which can learn from the training examples. Convolutional neural networks (CNN) are the current state-of-the-art ...

However, research on the implicit sentiment of users is still in its infancy. Aiming at the difficulty of implicit sentiment classification, a research on implicit sentiment classification model based ...

Quantum neural networks, which combine quantum computing and machine learning, have become a topic of great interest due to the advancement of quantum computing. This paper introduces a pure quantum ...