Special Annexure 1: PyTorch Interview Questions and Answers (Basic to Advanced)
Abstract: Below is Special Annexure 1: PyTorch Interview Questions and Answers (Basic to Advanced) — comprehensive, structured, and industry-ready. **Special Annexure 1 PyTorch Interview Questions and Answers (Basic to Advanced)** This annexure compiles curated technical interview questions frequently asked in academic, industrial, and research roles involving PyTorch. The questions span beginner, intermediate, and advanced levels, covering tensors, autograd, neural networks, optimization, GPU acceleration, deployment, and troubleshooting. Section A: Basic-Level Questions 1. What is PyTorch? PyTorch is an open-source deep learning framework developed by Facebook AI Research. It provides: Dynamic computational graphs Efficient tensor operations Automatic differentiation High flexibility for research and prototyping 2. What is a tensor in PyTorch? A tensor is a multidimensional array similar to: NumPy arrays (CPU) GPU arrays (CUDA-supported) ...