Databricks provides a rich collection of tools to help you develop machine learning applications. However, finding these tools and understanding how best to apply them to your machine learning problems can be difficult. The reference solutions provided on this page show detailed examples of how you can use Databricks for some common machine learning applications.
Image processing and computer vision
This article contains a reference solution for distributed image model inference based on a common setup shared by many real-world image applications.
This article contains a reference solution for how to build a wide-and-deep model for a recommender system, and how to serve it on Databricks.
Natural language processing
This article describes performing distributed training and inference for natural language processing applications.
Hugging Face Transformers for NLP
This article describes how to use Hugging Face Transformers for NLP. Example notebooks demonstrate text summarization and fine-tuning text classification model for a GPU.
This article describes options for labeling data.