Let's say you want to host domains first.com and second.com.
Create folders for their files:
| import torch | |
| import torch.nn as nn | |
| from torch.autograd import Variable | |
| batch_size = 3 | |
| max_length = 3 | |
| hidden_size = 2 | |
| n_layers =1 | |
| # container |
Go to the egghead website, i.e. Building a React.js App
run
$.each($('h4 a'), function(index, video){
console.log(video.href);
});| This is a note on how to cross compile opencv for pretty much any ARM device(HardFP supported in this case) and deploy. Native | |
| compiling in ARM devices can be painfully slow and they seem to hang often during build(mine got stuck at 43%). So if you happen | |
| to have a desktop/laptop/server running ubuntu or similar linux distro, u can build opencv in fractionth of the time taken for | |
| native compiling without any issues. | |
| Building opencv3 with TBB and NEON and VFP support can boost opencv performance. Thanks to Adrian at pyimagesearch for pointing that out. | |
| Both my PC and target machine aka orange pi zero are running ubuntu 16.04 with python2.7 and python 3.5. | |
| 1.Run the following commands in both machines to install the necessary libraries etc.(mine worked with them,so they should be enough | |
| hopefully) | |
| sudo apt-get update && sudo apt-get upgrade |
| #!/usr/bin/env python | |
| # simply do the following to generate dates for month 12 | |
| # curl -s apl-days.py | python - 12 2017 | |
| from datetime import date | |
| from calendar import monthrange | |
| from sys import argv | |
| # check if any argument is provided |
Note: I'm currently taking a break from this course to focus on my studies so I can finally graduate