Homework Help: Questions and Answers: What is the purpose of the nn module in PyTorch?
a) To define neural network models
b) To compute gradients for tensor operations
c) To preprocess data before training a neural network
d) To provide a set of utility functions for working with tensors
Answer:
First, lets understand the question: Its about the specific purpose of the nn module in PyTorch.
The nn module in PyTorch is short for “Neural Networks.” It is specifically designed to provide classes and functions to help create and work with neural network models.
Let’s analysis given options step by step to determine the correct answer.
Given Options: Step by Step Answering
a) To define neural network models
- This is accurate because the
nnmodule provides classes likenn.Module, which is used to define and build neural networks.
b) To compute gradients for tensor operations
- This is not the primary purpose of the
nnmodule. Gradients are typically computed using theautogradmodule in PyTorch.
c) To preprocess data before training a neural network
- Data preprocessing is usually handled by other modules like
torchvisionfor image data, ortorchtextfor text data, rather than thennmodule.
d) To provide a set of utility functions for working with tensors
- While PyTorch provides utility functions for tensors, these are found in the core PyTorch library (
torch), not specifically in thennmodule.
Final Answer
Based on the above analysis, the correct answer is:
a) To define neural network models
This option most accurately describes the primary purpose of the nn module in PyTorch, which is to provide tools and classes for building and defining neural network architectures.
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