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Interpreting Course Terminology
Case context: A student is reading page 8 of Machine Learning Yearning. They come across a section that heavily discusses 'deep learning', a term they are not familiar with, but they have extensively studied 'neural networks'.
Question: Based on the provided source evidence, what should the student conclude about the new term?
Sample answer: The student should conclude that 'deep learning' is just another name for the 'neural networks' they have already studied, as the text explicitly states that neural networks are also known as deep learning.
Key points:
- The text states neural networks are also known as deep learning.
- The student can apply their knowledge of neural networks.
- There is no difference between the two terms in this context.
Rubric: The answer must accurately apply the rule that deep learning is synonymous with neural networks based on the text.
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Python Programming Language
Data Science
Machine Learning
Deep Learning
Supervised Learning
Dive into Deep Learning @ D2L
Machine Learning Strategy
Machine Learning Yearning @ DeepLearning.AI
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