Developing real-world applications Flashcards
1
Q
Factors to consider when approaching a new problem
A
- The number of targets/how many classes?
- How vast is the intra-class variance?
- How vast is the inter-class variance?
- How big is the data?
- How balanced is the data?
- Is there already a model that is trained with a lot of images?
2
Q
Choosing the right model
A
There is a trade-off between size, runtime and accuracy. Test out all the architectures before the final decision.
