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About Master's Thesis: CNN Based Deep Face Recognition
This document is a master's thesis on CNN based deep face recognition. It begins with an acknowledgment and dedication section. The abstract summarizes that the study presents the newest approaches for facial detection and recognition based on deep learning and CNNs. Specifically, it plans to use a VGG CNN architecture with transfer learning to recognize faces using a custom dataset and data augmentation. Keywords discussed include face recognition, detection, deep learning, CNNs, models, datasets, and related tools. The table of contents outlines the structure of the document.
Detailed Information
| Author: | ['zayd zglzi'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 77 |
| Language: | English |
| Format: | |
| Price: | FREE |
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