PyTorch for Classification

Build AI classification models with PyTorch using binary and multi-label techniques.

  • Skill level

  • Time to complete

    Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary
    1 hour
  • Certificate of completion

    Included with paid plans
  • Prerequisites

    1 course
    We suggest you complete the following courses before you get started with PyTorch for Classification:
    • Intro to PyTorch and Neural Networks

About this course

Classification models are everywhere in AI, from medical diagnostics to sports. In this course, you will learn how to build neural network classification models using PyTorch. You’ll learn how to prepare data for classification, how to design binary and multiclass models, and how to evaluate the finished models. Along the way, you’ll build working models to classify real datasets.

Skills you'll gain

  • Use sigmoid and softmax functions

  • Measure loss with cross-entropy

  • Train neural networks for classification

  • Evaluate accuracy and F1-score


The platform

Hands-on learning

Animated GIF of an AI provided error explanation within Codecademy's learning environment
Mobile-friendly version of a lesson and code editor for the course 'Introduction to HTML' running in Codecademy's learning environment
An AI-generated hint within the instructions of a Codecademy project
Animated GIF of a mouse cursor hovering over the Python term "comment" displaying a Docs tooltip within a Codecademy lesson

Reviews from learners

  • The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.
    Codecademy Learner @ USA
  • I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.
    Codecademy Learner @ UK
  • Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.
    Codecademy Learner @ USA

Our learners work at

  • Google Logo
  • Meta Logo
  • Apple Logo
  • EA Logo
  • Amazon Logo
  • IBM Logo
  • Microsoft Logo
  • Reddit Logo
  • Spotify Logo
  • Uber Logo
  • YouTube Logo
  • Instagram Logo

Frequently asked questions about PyTorch for Classification

  • There are two broad types of machine learning: regression and classification. Regression models predict numbers. For example, a model predicting the exact temperature of given day would be a regression model. Classification models predict broad categories, like sunny or rainy.

Join over 50 million learners and start PyTorch for Classification today!

Looking for something else?

Browse more topics

View full catalog

Unlock additional features with a paid plan

  • Practice Projects

    Guided projects that help you solidify the skills and concepts you're learning.
  • Assessments

    Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.
  • Certificate of Completion

    Earn a document to prove you've completed a course or path that you can share with your network.