Abstract: This paper proposes a data mining algorithm based on deep learning, aiming to improve the intelligent level of enterprise knowledge management. This paper combines deep learning and NLP ...

There is still a lot of room for development in the application of knowledge map in smart grid. Based on deep learning, the semantic search algorithm of knowledge map of smart grid is further studied.

Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem, it has the potential ...

For example, algorithms based on deep learning can determine the location and size of tumors. This is the result of AutoPET, an international competition in medical image analysis, where ...

Hinton's motivation for the algorithm is to address ... without resorting to reinforcement learning. Although artificial neural networks (ANN) are based on a mathematical model of the brain ...

e Improving our knowledge of non-homogeneous networks is an important challenge on the path toward understanding implicit bias in deep learning. Extensions ... Neural networks are trained using ...

The difference is that machine learning uses algorithms developed for specific tasks. Deep learning is more of a data representation based upon multiple layers of a matrix, where each layer uses ...

Deep learning algorithms are modeled after the structure and function of the human brain, making use of multiple layers of artificial neurons (hence "deep" learning). These layers allow the system ...