Batch Scoring For Deep Learning Models
Обновлено 2024-11-08 19:24:35 +03:00
Running the most popular deep learning frameworks on Azure Batch AI
Обновлено 2023-06-12 22:32:13 +03:00
Обновлено 2020-02-19 01:08:12 +03:00
Batch scoring deep learning models with AML
Обновлено 2020-02-12 05:41:59 +03:00
Deploying a Batch Scoring Pipeline for Python Models
Обновлено 2020-01-28 22:21:04 +03:00
Обновлено 2020-01-24 11:19:37 +03:00
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
microsoft
azure-storage
image-classification
neural-networks
cntk
microsoft-azure
land-cover
land-use
geospatial-data
image-segmentation
microsoft-machine-learning
azure-batchai
cntk-model
geospatial-analysis
Обновлено 2019-07-25 06:53:28 +03:00
Batch scoring Spark models on Azure Databricks: A predictive maintenance use case
Обновлено 2019-05-24 16:44:02 +03:00
Batch scoring deep learning models with kubernetes
Обновлено 2019-02-07 16:46:58 +03:00
Batch AI for anomaly detection
Обновлено 2019-01-29 00:27:59 +03:00