PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\Deep Learning in Practice I Basics and Dataset Design | ||
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 1. Course Introduction | ||
| 10. [Intermediate] Train a CNN model with your HDF5 dataset | ||
| 11. Summary and What's Next | ||
| 2. [Beginner Level] CatNot Cat Classification Project Part 1 Data Loading | ||
| 3. [Beginner Level] CatNot Cat Classification Project Part 2 Perform the Training | ||
| 4. [Beginner Level] CatNot Cat Classification Project Part 3 Evaluate the Model | ||
| 5. [Intermediate] The Vehicle Type Classification Problem | ||
| 6. [Intermediate] Create dataset and collect images | ||
| 7. [Intermediate] Dataset pre-processing renaming and duplicate removal | ||
| 8. [Intermediate] HDF5 dataset creation | ||
| 9. [Intermediate] Creation of traindevtest dataset | ||