Deep Learning Approach for Natural Language Processing Speech and Computer Vision is popular PDF and ePub book, written by L. Ashok Kumar in 2023-05-22, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Deep Learning Approach for Natural Language Processing Speech and Computer Vision can be Read Online from any device for your convenience.
Deep Learning Approach for Natural Language Processing Speech and Computer Vision Book PDF Summary
Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision provides an overview of general deep learning methodology and its applications of natural language processing (NLP), speech, and computer vision tasks. It simplifies and presents the concepts of deep learning in a comprehensive manner, with suitable, full-fledged examples of deep learning models, with an aim to bridge the gap between the theoretical and the applications using case studies with code, experiments, and supporting analysis. Features: Covers latest developments in deep learning techniques as applied to audio analysis, computer vision, and natural language processing. Introduces contemporary applications of deep learning techniques as applied to audio, textual, and visual processing. Discovers deep learning frameworks and libraries for NLP, speech, and computer vision in Python. Gives insights into using the tools and libraries in Python for real-world applications. Provides easily accessible tutorials and real-world case studies with code to provide hands-on experience. This book is aimed at researchers and graduate students in computer engineering, image, speech, and text processing.
Detail Book of Deep Learning Approach for Natural Language Processing Speech and Computer Vision PDF
- Author : L. Ashok Kumar
- Release : 22 May 2023
- Publisher : CRC Press
- ISBN : 9781000875607
- Genre : Business & Economics
- Total Page : 251 pages
- Language : English
- PDF File Size : 17,7 Mb
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