Develop Successful Deep Learning Projects with This 10 Steps Formula

Develop Successful Deep Learning Projects with This 10 Steps Formula

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4. Applying Baseline Approach

5 of 12

5 of 12

4. Applying Baseline Approach

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Develop Successful Deep Learning Projects with This 10 Steps Formula

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  1. 1 Content Intro
  2. 2 1. Understand & Define The problem
  3. 3 2. Prepare your data
  4. 4 3. Choosing right method
  5. 5 4. Applying Baseline Approach
  6. 6 5. Using Appropriate Architecture
  7. 7 6. Appropriate Training Strategy
  8. 8 7. Stop Overfitting with Regularization
  9. 9 8. Enhance through Augmentation
  10. 10 9. Add Model Interpretability
  11. 11 10. Deploy and Monitor Model
  12. 12 Conclusion

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