FAQ – https://PyTorch.org

Q1: What is PyTorch?
A1: PyTorch is an open-source deep learning framework developed by the AI research group at Facebook. It provides a comprehensive set of tools for training, testing, and validating deep learning models.

Q2: What is the difference between PyTorch and Tensorflow?
A2: Tensorflow is a symbolic mathematics library while PyTorch is a deep learning library. Tensorflow supports both symbolic math and deep learning, while PyTorch focuses on deep learning.

Q3: How do I install PyTorch?
A3: You can find installation instructions for PyTorch on its website, pytorch.org.

Q4: How do I use PyTorch?
A4: You can find tutorials and documentation on how to use PyTorch on its website.

Q5: Does PyTorch support GPU?
A5: Yes! PyTorch can be used to build deep learning models that run on GPUs for increased performance.

Q6: Is PyTorch free?
A6: Yes! PyTorch is released under the Apache 2.0 open source license.

Q7: What languages does PyTorch support?
A7: PyTorch currently supports Python, C++, and Java.

Q8: Does PyTorch work with Windows?
A8: Yes, PyTorch can be installed on Windows 10 with the command line interface.

Q9: What is the difference between PyTorch and Keras?
A9: PyTorch is a deep learning framework while Keras is a high-level neural networks API. PyTorch provides more flexibility than Keras, such as support for custom layers and lower-level access to operations.

Q10: Does PyTorch support distributed training?
A10: Yes! PyTorch can be used for distributed training across multiple GPUs and machines.