Welcome to this beginner-friendly tutorial on PyTorch! In this video, you’ll learn:
✅ The basics of tensors in PyTorch
✅ How to perform arithmetic operations like addition, subtraction, and multiplication
✅ How to efficiently transfer tensors to the GPU for accelerated computations
✅ A step-by-step guide to performing matrix multiplication on the GPU
Whether you're just starting with PyTorch or looking to sharpen your skills, this video covers all the essentials you need to get started. Plus, we’ll tackle common errors like data type mismatches and show you how to avoid them!
🖥️ What you’ll gain from this video:
A solid understanding of PyTorch basics
Hands-on examples of tensor operations
Insights into using PyTorch on GPUs for faster performance
📌 Chapters:
0:00 Introduction
0:35 What is pytorch?
0:56 Installation of Pytorch
1:57 Check pytorch and Cuda Installation
3:27 What are tensors and How to create tensors
6:54 Airthematic operation on tensors
10:11 how to transfer tensors to Gpu for faster computation
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