반응형
Deciding when Deep Learning is the Right Tool
Deep Learning is a powerful tool, but it's not the only one. In general, the way to choose whether or not to use Deep Learning depends on your task, what kind of data you have, and how complex the relationships in the data are.
Scenarios in which to use Deep Learning include but are not limited to:
- Tasks
- Binary classification:
- Deep Learning
- Logistic Regression
- Decision Trees
- Support Vector Machines
- Multi-class classification:
- Deep Learning
- Decision Trees
- Support Vector Machines
- Regression:
- Deep Learning
- Linear Regression
- some Decision Trees
- Binary classification:
- Data:
- Images:
- Deep Learning
- Text:
- Deep Learning
- Statistical Methods
- Tabular Data:
- Decision Trees
- Images:
- Data Relationships:
- Simple:
- Linear Regression
- Logistic Regression
- Decision Trees
- Complex:
- Deep Learning
- Decision Trees
- Simple:
Additional Resources
If you want to learn more about when each machine learning method is appropriate, we recommend this article from MIT's Sloan school
반응형
'딥러닝' 카테고리의 다른 글
SCPD stanford online (0) | 2023.11.14 |
---|---|
quiz 1 (0) | 2023.11.09 |
Books to Read and Tools (0) | 2023.11.09 |
Binary Classification (0) | 2023.10.30 |
Dropout and Batch Normalization (0) | 2023.10.30 |