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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
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Solution

Break Down the Problem

  1. Identify the deep learning libraries listed in the options: Pandas, PyTorch, NumPy, Seaborn.
  2. Assess which library is specifically known for experimentation in deep learning.

Relevant Concepts

  1. Pandas: Primarily used for data manipulation and analysis.
  2. PyTorch: A flexible deep learning framework that supports dynamic computation graphs, making it well-suited for experimentation.
  3. NumPy: A library for numerical computations, not specifically designed for deep learning.
  4. 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.

This problem has been solved

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