Training Samples
Explore a curated collection of sample code and notebooks demonstrating various training techniques and scenarios within Azure Machine Learning.
Image Classification with TensorFlow
Learn how to train an image classification model using TensorFlow on Azure Machine Learning, including data preparation and hyperparameter tuning.
View SampleText Classification with PyTorch
This sample demonstrates training a text classification model using PyTorch, covering text preprocessing, model architecture, and evaluation metrics.
View SampleScikit-learn Regression
A practical example of training a regression model with Scikit-learn, showing how to set up an experiment and log results in Azure ML.
View SampleDistributed Training with Horovod
Explore how to perform distributed training for deep learning models using Horovod on Azure Machine Learning for faster training times.
View SampleResponsible AI Training Practices
Understand best practices for building responsible AI models, including fairness assessment and interpretability during the training phase.
View SampleCustom Training Script with CLI
Learn to train a custom model using your own training script and leverage the Azure ML CLI v2 for job submission and management.
View Sample