Manh Truong Tuan se7oluti0n

## 0_reuse_code.js
// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console

## classifier_from_little_data_script_3.py
'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats

## git-proxy.sh

      
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                se7oluti0n
                / git-proxy.sh
            
            
              Last active
              November 8, 2017 08:43
                — forked from icantrap/git-proxy.sh
            
              
                How to Github and Gitorious over HTTP proxy
              
          
    You could always use Smart HTTP.
For read-only (git:) urls, install corkscrew.


Download git-proxy.sh.  Put it somewhere and make it executable.


Run git config --global core.gitproxy '/usr/local/bin/git-proxy.sh'


To clone, push, pull over ssh, add the contents of ssh_config to your ~/.ssh/config file.

  
## decorator.cpp
#include <functional>
#include <chrono>
#include <iostream>

template <class> struct ExeTime;

// Execution time decorator
template <class R, class... Args>
struct ExeTime<R(Args ...)> {
public:
	// Use Gists to store code you would like to remember later on
	console.log(window); // log the "window" object to the console
	'''This script goes along the blog post
	"Building powerful image classification models using very little data"
	from blog.keras.io.
	It uses data that can be downloaded at:
	https://www.kaggle.com/c/dogs-vs-cats/data
	In our setup, we:
	- created a data/ folder
	- created train/ and validation/ subfolders inside data/
	- created cats/ and dogs/ subfolders inside train/ and validation/
	- put the cat pictures index 0-999 in data/train/cats
	#include <functional>
	#include <chrono>
	#include <iostream>

	template <class> struct ExeTime;

	// Execution time decorator
	template <class R, class... Args>
	struct ExeTime<R(Args ...)> {
	public: