YoVDO

Installing WSL with CUDA Support and PyTorch for Data Science and Machine Learning

Offered By: The Machine Learning Engineer via YouTube

Tags

Windows Subsystem for Linux Courses Data Science Courses Machine Learning Courses Deep Learning Courses Neural Networks Courses PyTorch Courses CUDA Courses GPU Computing Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Learn how to install Windows Subsystem for Linux (WSL) and set up PyTorch with GPU support in this 11-minute tutorial video. Follow step-by-step instructions to configure WSL, enable CUDA support, and install PyTorch for data science and machine learning projects. Access the complete set of commands used in the video through the provided GitHub repository link, allowing you to easily replicate the process on your own system.

Syllabus

Install WSL with CUDA support and Pytorch #datascience #machinelearning


Taught by

The Machine Learning Engineer

Related Courses

Deep Learning - Computer Vision for Beginners Using PyTorch
Packt via Coursera CUDA Advanced Libraries
Johns Hopkins University via Coursera CUDA at Scale for the Enterprise
Johns Hopkins University via Coursera CUDA Programming - High-Performance Computing with GPUs
freeCodeCamp GPU Programming
Johns Hopkins University via Coursera