Python Optical Character Recognition using Pytorch

ofrecido por
Coursera Project Network
En este proyecto guiado, tú:

Learn about image processing and data preparation.

Learn how to build and train a convolutional network.

Clock1 hour
BeginnerPrincipiante
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

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.

Habilidades que desarrollarás

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

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  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.

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

Preguntas Frecuentes

Preguntas Frecuentes

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