aaronpolhamus

#	$OpenBSD: ssh_config,v 1.26 2010/01/11 01:39:46 dtucker Exp $

# This is the ssh client system-wide configuration file.  See
# ssh_config(5) for more information.  This file provides defaults for
# users, and the values can be changed in per-user configuration files
# or on the command line.

# Configuration data is parsed as follows:
#  1. command line options
#  2. user-specific file

aaronpolhamus

# Uncomment if you don't trust ~/.ssh/known_hosts for RhostsRSAAuthentication
#IgnoreUserKnownHosts yes

# To enable empty passwords, change to yes (NOT RECOMMENDED)
PermitEmptyPasswords no

# Change to yes to enable challenge-response passwords (beware issues with
# some PAM modules and threads)
ChallengeResponseAuthentication no

aaronpolhamus

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
	<key>BackgroundBlur</key>
	<real>0.39305455500335362</real>
	<key>BackgroundColor</key>
	<data>
	YnBsaXN0MDDUAQIDBAUGFRZYJHZlcnNpb25YJG9iamVjdHNZJGFyY2hpdmVyVCR0b3AS
	AAGGoKMHCA9VJG51bGzTCQoLDA0OVU5TUkdCXE5TQ29sb3JTcGFjZVYkY2xhc3NPEDUw

aaronpolhamus

We couldn’t find that file to show.

aaronpolhamus

## Refer to http://caffe.berkeleyvision.org/installation.html
# Contributions simplifying and improving our build system are welcome!

# cuDNN acceleration switch (uncomment to build with cuDNN).
USE_CUDNN := 1

# CPU-only switch (uncomment to build without GPU support).
# CPU_ONLY := 1

# uncomment to disable IO dependencies and corresponding data layers

aaronpolhamus

n02119789 1 kit_fox
n02100735 2 English_setter
n02110185 3 Siberian_husky
n02096294 4 Australian_terrier
n02102040 5 English_springer
n02066245 6 grey_whale
n02509815 7 lesser_panda
n02124075 8 Egyptian_cat
n02417914 9 ibex
n02123394 10 Persian_cat

aaronpolhamus

name: "GoogleNet"
layer {
  name: "data"
  type: "Input"
  top: "data"
  input_param { shape: { dim: 1 dim: 3 dim: 224 dim: 224 } }
}
layer {
  name: "conv1/7x7_s2"
  type: "Convolution"

aaronpolhamus

import os 
import sys
import json
import model_control 
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation, Flatten
from keras.layers import Convolution2D, MaxPooling2D
from keras.optimizers import SGD
import numpy as np
from numpy import loadtxt, asarray

aaronpolhamus

model = Sequential()
model.add(Convolution2D(64, 3, 3, border_mode='valid', input_shape=(1, 128, 128)))
model.add(Activation('relu'))
model.add(Convolution2D(64, 3, 3))
model.add(MaxPooling2D((2,2), strides=(2,2)))
model.add(Activation('relu'))

model.add(Convolution2D(128, 3, 3))
model.add(Activation('relu'))
model.add(Convolution2D(128, 3, 3))

aaronpolhamus

import os 
import sys
import json
import model_control 
from numpy import loadtxt, asarray
from pandas import read_csv
from scipy.ndimage import imread
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation, Flatten
from keras.layers import Convolution2D, MaxPooling2D