Question 2Which deep learning library in Python is used for experimentation?1 pointPandasPyTorchNumPySeaborn
Question
Question 2
Which deep learning library in Python is used for experimentation?
1 point
- Pandas
- PyTorch
- NumPy
- Seaborn
Solution
Break Down the Problem
- Identify the deep learning libraries listed in the options: Pandas, PyTorch, NumPy, Seaborn.
- Assess which library is specifically known for experimentation in deep learning.
Relevant Concepts
- Pandas: Primarily used for data manipulation and analysis.
- PyTorch: A flexible deep learning framework that supports dynamic computation graphs, making it well-suited for experimentation.
- NumPy: A library for numerical computations, not specifically designed for deep learning.
- Seaborn: Mainly used for data visualization based on Matplotlib.
Analysis and Detail
- Pandas enhances data handling but does not have deep learning capabilities.
- PyTorch is designed for deep learning and allows researchers to experiment with different model architectures and training techniques easily.
- NumPy is foundational for numerical computations but isn't a deep learning library.
- Seaborn is for visualizing data, not for performing deep learning tasks.
Verify and Summarize
Among the libraries, PyTorch stands out for its focus on deep learning, allowing for a high degree of experimentation compared to the others.
Final Answer
PyTorch is the deep learning library used for experimentation.
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