DIGITS 3.1

New Features

• Enable multi-GPU for Torch (#480)
• Add basic login functionality (#463)
• Allow Torch to fine-tune pretrained models (#499)
• Allow Caffe to fine-tune from multiple pretrained models (#498)
• New tutorials
  • Fine-tuning (#500)
  • Siamese networks (#453)
  • Weight initialization (#522)
• Allow optional specification of image folder during multiple inference (#526)

Changes

• Torch performance improvements (#368, #390, #441, #339)
• Disable colormap for "Top N" feature (#481)
• Better real-time updates for dataset creation (#473)
• Better display for device_query tool (#497)
• Display the job directory for all job types (#469)
• Use Flask "Blueprints" to cleanup routing code (#507)
• Cleanup and alphabetize imports throughout the project (#501)
• Removed docs/API.md and docs/FlaskRoutes.md (a05356e)

Bugfixes

• Enable importing of LMDBs created with Caffe's convert_imageset tool (#517)