liu-shaojun
released this
05 Mar 10:02
·
17076 commits
to bigdl-2.0
since this release
Highlights
- Support for building and productionizing end-to-end deep learning applications for big data
- E2E analytics + deep learning pipelines (natively in Spark DataFrames and ML Pipelines) using nnframes
- Flexible model definition using autograd, Keras & transfer learning APIs
- Data preprocessing using built-in feature engineering operations
- Out-of-the-box solutions for a variety of problem types using built-in deep learning models and reference use cases
- Serving models using POJO model serving APIs for web services and other big data frameworks (e.g., Storm or Kafka)