philcampbell-qhr

 100 Mile House, British Columbia
 108 Mile House, British Columbia
 108 Mile Ranch, British Columbia
 150 Mile House, British Columbia
 Abbey, Saskatchewan
 Abbotsford, British Columbia
 Aberarder, Ontario
 Abercorn, Quebec
 Aberdeen, Saskatchewan
 Abernethy, Saskatchewan

SanderTheDragon

#!/bin/sh

# SPDX-FileCopyrightText: 2017-2024 SanderTheDragon <sanderthedragon@zoho.com>
#
# SPDX-License-Identifier: MIT

arch=$(dpkg --print-architecture)
echo "Detected architecture: $arch"

case "$arch" in

kylehounslow

from __future__ import print_function
import requests
import json
import cv2

addr = 'http://localhost:5000'
test_url = addr + '/api/test'

# prepare headers for http request
content_type = 'image/jpeg'

aviskase

[Desktop Entry]
Encoding=UTF-8
Name=Postman
Exec=postman
Icon=/home/USERNAME/Postman/app/resources/app/assets/icon.png
Terminal=false
Type=Application
Categories=Development;

arundasan91

Freshly brewed !

With the availability of huge amount of data for research and powerfull machines to run your code on, Machine Learning and Neural Networks is gaining their foot again and impacting us more than ever in our everyday lives. With huge players like Google opensourcing part of their Machine Learning systems like the TensorFlow software library for numerical computation, there are many options for someone interested in starting off with Machine Learning/Neural Nets to choose from. Caffe, a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and its contributors, comes to the play with a fresh cup of coffee.

Installation Instructions (Ubuntu 14 Trusty)

The following section is divided in to two parts. Caffe's documentation suggest