MNIST Digit Classification#
Load the MNIST image dataset and use a simple deep learning model to run classification on each image. Evaluate the model’s performance with simple aggregations.
Querying Images with UDFs#
Query the Open Images dataset to retrieve the top N “reddest” images. This tutorial uses common open-source tools such as numpy and Pillow inside Daft UDFs to execute this query.
Image generation on GPUs#
Generate images from text prompts using a deep learning model (Mini DALL-E) and Daft UDFs. Run Daft UDFs on GPUs for more efficient resource allocation.