Why can two training examples produce 0% training error?
Question: Answer in one to three sentences using the source's explanation.
Sample answer: With only two examples, the learning algorithm can easily memorize both of them. It can therefore classify the training examples perfectly and obtain 0% training error.
Key points:
- The training set is extremely small.
- The algorithm can memorize both examples.
- Memorization can yield 0% training error.
Rubric: The answer should state that a two-example training set is easy to memorize and connect memorization to zero training error.
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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)
Machine Learning Yearning (Deeplearning.ai)
Machine Learning Yearning (Deeplearning.ai)
Tags
Machine Learning
Deep Learning
Supervised Learning
Dive into Deep Learning @ D2L
Data Science
Machine Learning Strategy
Machine Learning Yearning @ DeepLearning.AI
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