omoindrot

"""
Example TensorFlow script for finetuning a VGG model on your own data.
Uses tf.contrib.data module which is in release v1.2
Based on PyTorch example from Justin Johnson
(https://gist.github.com/jcjohnson/6e41e8512c17eae5da50aebef3378a4c)

Required packages: tensorflow (v1.2)
Download the weights trained on ImageNet for VGG:
```
wget http://download.tensorflow.org/models/vgg_16_2016_08_28.tar.gz

alexcpn

from __future__ import division
import numpy as np

RADIUS_OF_EARTH_IN_KM = 6371.01 


def haversine(lat1, lon1, lat2, lon2):
  """
      Utility  to calcutlate distance between two pointtodo explain regarding height 
      coverting from geodisc co-ordinate to cartestian gives  errors when distances are further apart

beci

sudo add-apt-repository ppa:ubuntu-toolchain-r/test
sudo apt-get update
sudo apt-get install gcc-5 g++-5

sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-5 60 --slave /usr/bin/g++ g++ /usr/bin/g++-5

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

arvindm1

<!--  Create a serveResource URL -->
<portlet:resourceURL var="ajaxCallResourceURL" />

<aui:script>
	
	Liferay.provide(
		window,
		'<portlet:namespace />saveEntry',
		function() {
			var A = AUI();