Traditional Culture Encyclopedia - Traditional festivals - What are the advantages of deep learning for face recognition compared with traditional methods?
What are the advantages of deep learning for face recognition compared with traditional methods?
In traditional methods, feature extraction mainly depends on the artificially designed extractor, which requires professional knowledge and complicated parameter adjustment process. At the same time, each method is aimed at a specific application, and its generalization ability and robustness are poor.
Deep learning is mainly data-driven feature extraction. According to a large number of samples, we can get in-depth and data-specific feature representation, which is more efficient and accurate for the expression of data sets, and the extracted abstract features are more robust and have better generalization ability, which can be end-to-end. The disadvantage is that the sample set has great influence and requires high computing power.
- Previous article:What do you mean by breaking traditional ideas?
- Next article:Guzheng production materials
- Related articles
- What is the way out for art studentsAre art students good for employment after graduation?
- Food composition in Liangzhu hometown
- Is Fantasia Modern or Traditional?
- Do wholesale general profit is how much percent, retail profit is how many
- Which is better to learn, guzheng or guitar?
- Okita Souji and the newly elected group-Soul of the samurai? Chapter IV [Original]
- What is the difference between the scrapping process of new energy vehicles and traditional vehicles?
- What are the four major book fairs in the world?
- How to drink the best red wine
- What are the characteristics of Cantonese cuisine?