In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.
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Project | # of Top 100 Free Apps (US) | |
---|---|---|
facebook-ios-sdk | 67 | |
Bolts-iOS | 48 | |
AFNetworking | 39 | |
Google-Mobile-Ads-SDK | 38 | |
Reachability (Apple) | 38 | |
Crashlytics | 37 | |
Flurry-iOS-SDK | 31 | |
CocoaPods | 30 | |
GoogleConversionTracking | 29 |
##VGG16 model for Keras
This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.
It has been obtained by directly converting the Caffe model provived by the authors.
Details about the network architecture can be found in the following arXiv paper:
Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan, A. Zisserman
##git mergetool
In the middle file (future merged file), you can navigate between conflicts with ]c
and [c
.
Choose which version you want to keep with :diffget //2
or :diffget //3
(the //2
and //3
are unique identifiers for the target/master copy and the merge/branch copy file names).
:diffupdate (to remove leftover spacing issues)
:only (once you’re done reviewing all conflicts, this shows only the middle/merged file)
This is now an actual repo: