Build classification models with PyTorch.
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.
* Use sigmoid and softmax functions
* Measure loss with cross-entropy
* Train neural networks for classification
* Evaluate accuracy and F1-score
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.
* Use sigmoid and softmax functions
* Measure loss with cross-entropy
* Train neural networks for classification
* Evaluate accuracy and F1-score
