Homework Help: Questions and Answers: What is the primary purpose of the nn module in PyTorch?
A) To provide neural network layers and utilities
B) To handle data loading and preprocessing
C) To manage GPU resources
D) To implement optimization algorithms
Answer
Xbox Wireless Gaming Controller (2025) – Carbon Black
First, let’s understand what PyTorch and Neural network :
PyTorch is an open-source machine learning library primarily used for applications such as deep learning and neural networks.
Neural networks are made up of layers of interconnected nodes (neurons) and the connections between them.
Now, Let’s go through each of the options to determine the correct answer (option).
Given Options: Step by Step Answering
a) To provide neural network layers and utilities
- The
nnmodule in PyTorch is specifically designed to provide tools to define and work with neural network layers, such asnn.Linear,nn.Conv2d, and more. It also provides other utilities like loss functions and activation functions, which are essential for building neural networks.
b) To handle data loading and preprocessing
- Data loading and preprocessing are primarily handled by the
torch.utils.datamodule, which includes theDataLoaderclass and related utilities, not thennmodule.
c) To manage GPU resources
- GPU resource management is typically handled by the
torch.cudamodule, not thennmodule.
d) To implement optimization algorithms
- Optimization algorithms are provided by the
torch.optimmodule, not thennmodule.
Final Answer:
Based on the above analysis, the correct answer is:
a) To provide neural network layers and utilities
This is the primary purpose of the nn module in PyTorch. It offers the building blocks needed to construct neural network architectures.
Learn More: Homework Help
Q. Which of the following best describes the purpose of a QR code?
Q. Which of the following best describes Web 3.0?
Q. What do the five EA values 0 to 4 stand for in erroraction in ps?
