What’s New

This document outlines features and improvements from each release.

v1.3.0 (July 25, 2024)

  • DLModelzoo action support
  • Real-time plot for hyper-parameter tuning with DLModelzoo
  • New examples for APIs with DLModelzoo
  • PNG/base64 output format for segmentation models
  • Additional pre-defined network architectures such as ENet and Efficient-Net

v1.2.0 (March 13, 2020)

  • Supporting features released with SAS Viya 3.5
  • APIs for Image embeddings
  • Survival analysis support
  • More example notebooks
  • Various bug fixes

v1.1.2 (August 13, 2019)

  • Updating and expanding the documentation
  • Various bug fixes

v1.1.1 (August 05, 2019)

v1.1.0 (July 16, 2019)

  • New layers: transpose convolution and group convolution
  • New architectures: U-Net, MobileNet, and ShuffleNet
  • Supporting FasterRCNN for object detection
  • Supporting image segmentation
  • Various bug fixes
  • Improved documentation
  • Improved code coverage

v1.0.2 (March 16, 2019)

  • Various bug fixes
  • A new way of creating models
  • Multi-step forecasting

v1.0.1 (December 04, 2018)

  • Various bug fixes
  • ONNX import and export support
  • Re-organization of examples

v1.0.0 (October 26, 2018)

  • Text, audio, and time series support in addition to image
  • APIs for RNN based tasks: text classification, text generation, and sequence labeling
  • APIs for object detection
  • APIs for time series processing and modeling
  • APIs for processing audio files and creating speech recognition models
  • Additional pre-defined network architectures such as DenseNet, DarkNet, Inception, and Yolo
with enhanced data visualization and metadata handling