PyTorch for Classification
|
Build AI classification models with PyTorch using binary and multi-label techniques.
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
User Reviews
Be the first to review “PyTorch for Classification”
Related Products
Diploma in Using Python for Data Science
This Free Online Course Includes: 6-10 Hours of Learning CPD Accreditation Final Assessment
Data Science Fundamentals – Essential Tools & Concepts
This Free Online Course Includes: 4-5 Hours of Learning CPD Accreditation Final Assessment
Mastering the Basics of Microsoft Excel
This Free Online Course Includes: 1.5-3 Hours of Learning CPD Accreditation Final Assessment
R Programming for Data Science
This Free Online Course Includes: 6-10 Hours of Learning CPD Accreditation Final Assessment
Diploma in Mastering Machine Learning with R
This Free Online Course Includes: 6-10 Hours of Learning CPD Accreditation Final Assessment
Introductory Stata 2023: Graphics and Data Visualization
This Free Online Course Includes: 1.5-3 Hours of Learning CPD Accreditation Final Assessment
There are no reviews yet.