Python Optical Character Recognition using Pytorch

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

Learn about image processing and data preparation.

Learn how to build and train a convolutional network.

Clock1 hour
BeginnerBeginner
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

Note: The rhyme platform currently does not support webcams, so this is not a live project. This guided project is about optical character recognition using Pythorch, a Python library. This comes under the computer vision domain. While you are watching me code, you will get a cloud desktop with all the required software pre-installed. This will allow you to code along with me. After all, we learn best with active, hands-on learning. Note: This project works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Skills you will develop

  • Data Science
  • Deep Learning
  • Convolutional Neural Network
  • Python Programming
  • Computer Vision

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. Learn how to convert images to Tensors and about Image preprocessing.

  2. Learn how to build a Convolutional Neural Network and about one-hot encoding images.

  3. Learn how to set the optimizer and loss function for a model to get good results

  4. Learn how to train a Convolutional Neural Network to get the best accuracy.

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.