PyTorch for Classification
Build AI classification models with PyTorch using binary and multi-label techniques.
Skill level
BeginnerTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary3 hoursProjects
1Prerequisites
1 courseWe 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
Syllabus
PyTorch for Classification
Use PyTorch to build neural network classification models.
Certificate of completion available with Plus or Pro
Earn a certificate of completion and showcase your accomplishment on your resume or LinkedIn.
Earn a certificate of completion
Show your network you've done the work by earning a certificate of completion for each course or path you finish.- Show proofReceive a certificate that demonstrates you've completed a course or path.
- Build a collectionThe more courses and paths you complete, the more certificates you collect.
- Share with your networkEasily add certificates of completion to your LinkedIn profile to share your accomplishments.
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.ChrisCodecademy 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.RodrigoCodecademy Learner @ UK
- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA
Our learners work at
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?
Related resources
- Article
PyTorch vs TensorFlow: Choosing the Best Framework for Deep Learning
Learn the differences between PyTorch and TensorFlow using examples and use cases. - Article
Regression vs. Classification
Learn about the two types of Supervised Learning algorithms. - Article
Getting Started with PyTorch: A Beginner’s Guide to Deep Learning
Learn PyTorch with custom datasets, data transformations, augmentation techniques, efficient loading, and AI model building for seamless implementation.
Related courses and paths
- Course
Learn Text Classification with PyTorch
Learn how to use PyTorch in Python to build text classification models using neural networks and fine-tuning transformer models.With CertificateIntermediate1 hour - Free course
Intro to PyTorch and Neural Networks
Learn how to use PyTorch to build, train, and test artificial neural networks in this course.Intermediate3 hours - Course
Deep Learning with TensorFlow: Classification
Build deep learning models to classify data.Intermediate2 hours
Browse more topics
- Python3,748,379 learners enrolled
- AI2,062,471 learners enrolled
- Data science4,643,249 learners enrolled
- Machine learning688,046 learners enrolled
- Code foundations7,637,066 learners enrolled
- Computer science6,099,208 learners enrolled
- Web development5,118,062 learners enrolled
- For business3,512,754 learners enrolled
- JavaScript2,933,358 learners enrolled
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.