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About Deep Learning vs. Traditional Computer Vision
The document compares deep learning and traditional computer vision techniques. It discusses that deep learning uses neural networks to perform end-to-end learning from large datasets, automatically determining important features for tasks like image classification. This approach has significantly outperformed traditional methods that rely on engineers to manually define important features. However, the document also notes that traditional techniques still have applications where global features are better, and that combining deep learning with traditional methods can help overcome some deep learning challenges and tackle new problems.
Detailed Information
| Author: | ['aklile'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 17 |
| Language: | English |
| Format: | |
| Price: | FREE |
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