Home
Projects
Resources
Alternatives
Blog
Sign In
DIGITS Versions
Save
Deep Learning GPU Training System
Overview
Versions
Reviews
Resources
v1.1.0
9 years ago
New Features
Add GoogLeNet as a default network (#11)
"Classify Many Images" shows classification results of many images at once (#61)
Show statistics (mean, standard deviation, histogram of values) for each layer of the network at inference time (#67)
Allow saving images in database with PNG encoding (#73)
Optionally turn off shuffling when creating a dataset (#72)
Optionally provide a random seed to caffe (73fe257)
Changes
Upgrade to NVIDIA/caffe version
0.11.0
(e2bcb27)
Update pip requirements list to match packages available on Ubuntu 14.04 where possible (4162db4, 133213d)
Use
C3.js
instead of Google Charts to enable DIGITS to run without an internet connection (#34)
Change default image resize mode from
HALF_CROP
to
SQUASH
(b4f3261)
Bugfixes
Save images in BGR order instead of RGB because caffe uses OpenCV to read encoded images (#59)
Scale the LeNet standard network by the standard deviation of MNIST (~80) during train, val
and
test phases (5a38aa5, 23c1a78)
Use a white background when removing transparency from images (#85)
Known Issues
The GoogLeNet standard network is not behaving correctly when trained on the full ImageNet dataset (#82)
"Classify Many Images" may timeout if too many images are uploaded and the server takes too long to respond (#70)
« Previous
Next »
Home
Projects
Resources
Alternatives
Blog
Sign In
Sign In to OSA
I agree with
Terms of Service
and
Privacy Policy
Sign In with Github