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Machine learning and deep learning in real-time applications / Mehul Mahrishi, Kamal Kant Hiran, Gaurav Meena, and Paawan Sharma, editors.
- Format:
- Book
- Series:
- Advances in computer and electrical engineering (ACEE) book series.
- Advances in computer and electrical engineering (ACEE) book series
- Language:
- English
- Subjects (All):
- Machine learning.
- Real-time data processing.
- Physical Description:
- 23 PDFs (344 pages)
- Place of Publication:
- Hershey, Pennsylvania : IGI Global, [2020]
- System Details:
- Mode of access: World Wide Web.
- Summary:
- "This book examines recent advancements in deep learning libraries, frameworks and algorithms. It also explores the multidisciplinary applications of machine learning and deep learning in real world"-- Provided by publisher.
- Contents:
- Chapter 1. Obtaining deep learning models for automatic classification of leukocytes
- Chapter 2. Deep leaning using keras
- Chapter 3. Deep learning with pytorch
- Chapter 4. Deep learning with tensorflow
- Chapter 5. Employee's attrition prediction using machine learning approaches
- Chapter 6. A novel deep learning method for identification of cancer genes from gene expression dataset
- Chapter 7. Machine learning in authentication of digital audio recordings
- Chapter 8. Deep convolutional neural network-based analysis for breast cancer histology images
- Chapter 9. Deep learning in engineering education: performance prediction using cuckoo-based hybrid classification
- Chapter 10. Malaria detection system using convolutional neural network algorithm
- Chapter 11. An introduction to deep convolutional neural networks with keras
- Chapter 12. Emotion recognition with facial expression using machine learning for social network and healthcare
- Chapter 13. Text separation from document images: a deep learning approach.
- Notes:
- Description based on print version record.
- Includes bibliographical references and index.
- ISBN:
- 1-7998-3097-7
- OCLC:
- 1126391233
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