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About Master's Thesis Deep Learning For Visual Recognition: Remi Cadene Supervised by Nicolas Thome and Matthieu Cord
This document is a master's thesis on deep learning for visual recognition. It provides an overview of convolutional neural networks, including different architectures and training methods. It then discusses applications of transfer learning to various datasets of different sizes, such as food images and satellite images. Finally, it covers weakly supervised learning and a framework built on Torch7 for training deep models on visual recognition tasks. The goal of the thesis is to develop methods advancing automatic visual recognition, especially for tasks with limited data.
Detailed Information
| Author: | ['abdul muqeet'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 58 |
| Language: | English |
| Format: | |
| Price: | FREE |
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