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Can I read Deep Learning Research Applications for Natural Language Processing on EtoBox?
Deep Learning Research Applications for Natural Language Processing by L. Ashok Kumar, Dhanaraj Karthika Renuka, S. Geetha is a nonfiction available to read on EtoBox.
What is Deep Learning Research Applications for Natural Language Processing about?
Humans have the most advanced method of communication, which is known as natural language. While humans can use computers to send voice and text messages to each other, computers do not innately know how to process natural language. In recent years, deep learning has primarily transformed the perspectives of a variety of fields in Artificial Intelligence (AI), including speech, vision, and natural language processing (NLP). The extensive success of deep learning in a wide variety of applications has served as a benchmark for the many downstream tasks in AI. The field of computer vision has taken great leaps in recent years and surpassed humans in tasks related to detecting and labeling objects thanks to advances in deep learning and neural networks. Deep Learning Research Applications for Natural Language Processing explains the concepts and state-of-the-art research in the fields of NLP, speech, and computer vision. It provides insights into using the tools and libraries in Python for real-world applications. Covering topics such as Deep Learning algorithms, neural networks, and advanced prediction, this premier reference source is an excellent resource for computational linguists
Who reads Deep Learning Research Applications for Natural Language Processing?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- L. Ashok Kumar, Dhanaraj Karthika Renuka, S. Geetha
- Publisher
- IGI Global, Engineering Science Reference
- Published
- 2022
- Language
- EN
- ISBN
- 9781668460023
- Category
- nonfiction
- Subjects
- Science, Computer Science, Mathematics
Other editions & translations
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