Overview of Deep Learning: Concepts and Applications

Overview of Deep Learning: Concepts and Applications

Introduction The concept of deep learning originates from the study of artificial neural networks. A multi-layer perceptron with multiple hidden layers is a type of deep learning structure. Deep learning combines low-level features to form more abstract high-level representations of attribute categories or features, in order to discover distributed feature representations of data. The concept … Read more

5 Key Advantages of Deep Learning in Natural Language Processing

5 Key Advantages of Deep Learning in Natural Language Processing

1Compiled by New Intelligence Source: machinelearningmastery.com Author: Jason Brownlee Compiled by: Zhu Huan [New Intelligence Overview] In the field of Natural Language Processing (NLP), the promise of deep learning is: to bring better performance to new models that may require more data but no longer need as much linguistic expertise. In the field of NLP, … Read more