Image Classification and Retrieval

1.Artifical Intelligence, Machine Learning and Deep Learning

2. AI Technologies Timeline

3. Machine Learning Workflow

4. Feature Extraction is The Key

5. Content-based Image Retrieval (CBIR) Framework

6. Practical Scalable CBIR (With Hashing)

7. Drawbacks of Traditional Machine Learning

8. Machine Learning VS. Deep Learning

9. Machine Learning VS. Deep Learning

Data relevance ： Little data VS. big data
Hardware dependencies ：CPU VS.GPU
Feature Engineering ： Manual production and automatic production .
Solutions to problems ： isolated VS. End to end .
execution time ： Short training time VS Long training time .
Interpretability ： Can explain the contrast with the black box .