Learn Before
What two components make up the common AI design pattern described for scoring functions?
Question: In one to three sentences, name and briefly describe the two components of the AI design pattern involving scoring functions.
Sample answer: The pattern consists of (1) an approximate scoring function, Score_x(.), that estimates how good a candidate output is for a given input, and (2) an approximate maximization algorithm that searches for the output maximizing that score.
Key points:
- Approximate scoring function estimates output quality
- Approximate maximization algorithm searches for the best-scoring output
Rubric: Full credit for naming both the scoring function and the maximization/search algorithm and briefly describing each role.
0
1
References
Machine Learning Yearning (Deeplearning.ai)
Machine Learning Yearning (Deeplearning.ai)
Machine Learning Yearning (Deeplearning.ai)
Machine Learning Yearning (Deeplearning.ai)
Machine Learning Yearning (Deeplearning.ai)
Machine Learning Yearning (Deeplearning.ai)
Machine Learning Yearning (Deeplearning.ai)
Machine Learning Yearning (Deeplearning.ai)
Tags
Data Science
Machine Learning
Deep Learning
Supervised Learning
Dive into Deep Learning @ D2L
Machine Learning Yearning @ DeepLearning.AI
Related
Approximate Search in Scored Inference
Distance-Based Scoring Function
Semantic Matching Scoring Function
In Andrew Ng's speech recognition example, what does Score_A(S) represent?
True or False: A scoring function alone is sufficient; no separate search or maximization step is needed.
An inference system searches for the output that _____ the scoring function.
Match each scoring function component to its role in the speech recognition example.
Order the steps of the scoring function design pattern in AI system design.
Explain why learning a scoring function and searching separately is a useful AI design pattern.
Diagnose a speech recognition error using the scoring function framework.
What two components make up the common AI design pattern described for scoring functions?
When can you apply the Optimization Verification test according to the source?
True or False: In the common design pattern, both the scoring function and the maximization algorithm are typically exact rather than approximate.