Deep Learning: A Comprehensive Guide
Material type:
- 9781032028828
- 006.31 VAS
Item type | Current library | Item location | Collection | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|---|
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NIMA Knowledge Centre | 7th Floor Silence Zone | Reference | 006.31 VAS (Browse shelf(Opens below)) | Not For Loan | M0043260 |
Total holds: 0
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1. Introduction to Deep Learning
2. The Tools and Prerequisites
3. Machine Learning: The Fundamentals
4. The Deep Learning Framework
5. CNN– Convolutional Neural Networks – A Complete Understanding
6. CNN Architectures – An Evolution
7. Recurrent Neural Networks
8. Autoencoders
9. Generative Models
10. Transfer Learning
11. Intel OpenVino – A Must Know Deep Learning Toolkit
12. Interview Questions and Answers
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