09.Machine learning07.Model transfer - sporedata/researchdesigneR GitHub Wiki

1. Use cases: in which situations should I use this method?

2. Input: what kind of data does the method require?

  • Labeled images

3. Algorithm: how does the method work?

Model mechanics

The most important step in transfer learning is hyperparameter optimization

Describing in words

Describing in images

Describing with code

Breaking down equations

Reporting guidelines

Data science packages

Suggested companion methods

Learning materials

  1. Books *
  2. Articles

4. Output: how do I interpret this method's results?

Mock conclusions or most frequent format for conclusions reached at the end of a typical analysis.

Tables, plots, and their interpretation

Tables and plots should compare traditional image recognition diagnostic tests between transfer and non-transfer models.

5. SporeData-specific

Templates

Data science functions

References