Learn how to set up GPU acceleration on Windows using WSL2 and Ubuntu, install TensorFlow with GPU support, and compare CPU vs GPU performance for AI workloads.
Discover how linear regression works in machine learning and how to implement it using PyTorch. This beginner-friendly guide covers key concepts like predictions, loss, gradient descent, and model training—explained clearly with real-world analogies and visuals.
You'll understand how backpropagation helps neural networks learn by minimizing errors. We break it down step by step in simple terms!
New to PyTorch? This beginner-friendly guide explains tensors clearly and shows how to create and use them easily, even if you've never coded before!