Ml Suite V1.4

• Release Notes
• Integration of Deephi DECENT Quantizer for Caffe
• xfDNN Runtime API upgraded to support multi-output networks
• XDNNv3 fully integrated for all platforms & models
• Ease of use enhancements
  • Docker Images
  • Run on FPGA using Caffe's custom Python layer
  • HDF5 format used for network weights

Update v1.1

New Features:

• Added Jupyter Notebook Support
• New Jupyter Notebooks available:
  • Image Classification with Caffe
  • Using the xfDNN Compiler w/ a Caffe Model
  • Using the xfDNN Quantizer w/ a Caffe Model
  • Object Detection w/ YOLOv2 + Darknet to Caffe conversion
• Image Classification Googlenet Demo for VCU1525
• Enhanced Documentation with ML Suite Overview, Overlay Selector Guide and FAQ
• Introducing Nimbix Support
• Updated SDx DSA support to xilinx_vcu1525_dynamic_5_1 for VCU1525 and Nimbix

Bug fixes

• AWS overlay names have been updated, removing 'aws' prefix
• General Enhancements and Bug fixes for xfDNN Compiler/Quantizer
• Batch Nom layers implementation corrected from Darknet
• Default file permission fixed
• Root dir issues involving "ml-suite" resolved
• xdnn.execute api no longer needs images/batch argument
• Quantizer updated to allow for custom file names for output files
• xdnn_io updated to return 'none' if there are not FC layers in network

Full Release notes:
https://github.com/Xilinx/ml-suite/blob/master/docs/release-notes/1.1.md

Initial Release

Release Notes: https://github.com/Xilinx/ml-suite/blob/v1.0-ea/docs/release-notes/1.0.md