Getting Started with PyTorch

18 ratings
Offered By
Coursera Project Network
In this Guided Project, you will:

Using PyTorch in Machine Leaning

Implement Machine Learning Algorithms with PyTorch

Clock1.5 Hours
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

In this 1.5-hour long project-based course, you will learn how to use one of the most popular deep learning frameworks, PyTorch. You will discover PyTorch data structure and perform various tasks with it. PyTorch is more customizable than other deep learning frameworks like Keras. In your journey to become a Data Scientist or implement deep learning projects PyTorch will surly become useful. By the end of this project you will have good understanding of loading and manipulating data in PyTorch, using GPU in PyTorch for reaching much higher performance and also implement linear regression and start understanding building neural network in PyTorch.

Skills you will develop

Artificial Neural NetworkLinear RegressionMachine Learningpytorch

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. PyTorch Data Structure and Components

  2. The Optimizer and Loss function, Using GPU

  3. The Linear Regression Algorithm

  4. The nn.Moudule

  5. Datasets and DataLoader

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.