sejas

{0: 'tench, Tinca tinca',
 1: 'goldfish, Carassius auratus',
 2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias',
 3: 'tiger shark, Galeocerdo cuvieri',
 4: 'hammerhead, hammerhead shark',
 5: 'electric ray, crampfish, numbfish, torpedo',
 6: 'stingray',
 7: 'cock',
 8: 'hen',
 9: 'ostrich, Struthio camelus',

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"""
This script will demonstrate how to use a pretrained model, in PyTorch, 
to make predictions. Specifically, we will be using VGG16 with a cat 
image.

References used to make this script:
PyTorch pretrained models doc:
    http://pytorch.org/docs/master/torchvision/models.html
PyTorch image transforms example:
    http://pytorch.org/tutorials/beginner/data_loading_tutorial.html#transforms

sejas

#!/bin/sh
# Install brew
/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
# Apple hides old versions of stuff at https://developer.apple.com/download/more/
# Install the latest XCode (8.0).
#   We used to install the XCode Command Line Tools 7.3 here, but that would just upset the most recent versions of brew.
#   So we're going to install all our brew dependencies first, and then downgrade the tools. You can switch back after
#   you have installed caffe.
# Install CUDA toolkit 8.0 release candidate
#   Register and download from https://developer.nvidia.com/cuda-release-candidate-download

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<?php

/**
 * Add checkbox field to the checkout
 **/

$myCheckboxKey = 'my_checkbox';

add_action('woocommerce_after_order_notes', 'my_custom_checkout_field');
function my_custom_checkout_field( $checkout ) {

sejas

function wc_ninja_remove_password_strength() {
	if ( wp_script_is( 'wc-password-strength-meter', 'enqueued' ) ) {
		wp_dequeue_script( 'wc-password-strength-meter' );
	}
}
add_action( 'wp_print_scripts', 'wc_ninja_remove_password_strength', 100 );