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## keybase.md

      
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                NeuroWhAI
                / keybase.md
            
            
              Created
              June 25, 2019 05:59
            
          
    Keybase proof

I hereby claim:

I am neurowhai on github.
I am neurowhai (https://keybase.io/neurowhai) on keybase.
I have a public key ASCayBuVkVv56r06LjMRaEeuW13n61qVRZnicPpWfO7phgo

To claim this, I am signing this object:

  
## keras-seq2seq-with-attention.py
from keras import layers, models
from keras import datasets
from keras import backend as K
from keras.utils import plot_model
import matplotlib
from matplotlib import ticker
import matplotlib.pyplot as plt
import numpy as np
#from IPython.display import Image, display


## tfjs test.html
<!doctype html>
<html>
<head>
    <title>TF.js Test</title>
    <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@0.6.1"></script>
    <script type="text/javascript">
        // 선형회귀 모델 생성
        const model = tf.sequential();
        model.add(tf.layers.dense({units: 1, inputShape: [1]}));


## TensorFlow-DCGAN-MNIST.py
#-*- coding: utf-8 -*-

import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt

from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("./mnist/data/", one_hot=True)

total_epoch = 100

## ActionNet.hpp
#include <unordered_map>
#include <deque>
#include <functional>
#include <type_traits>
#include <tuple>
#include <utility>
#include <memory>
#include <algorithm>


## Action.hpp
#include <memory>
#include <functional>
#include <type_traits>
#include <tuple>
#include <utility>


template <typename... ARGS>
	from keras import layers, models
	from keras import datasets
	from keras import backend as K
	from keras.utils import plot_model
	import matplotlib
	from matplotlib import ticker
	import matplotlib.pyplot as plt
	import numpy as np
	#from IPython.display import Image, display
	<!doctype html>
	<html>
	<head>
	<title>TF.js Test</title>
	<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@0.6.1"></script>
	<script type="text/javascript">
	// 선형회귀 모델 생성
	const model = tf.sequential();
	model.add(tf.layers.dense({units: 1, inputShape: [1]}));
	#-- coding: utf-8 --

	import tensorflow as tf
	import numpy as np
	import matplotlib.pyplot as plt

	from tensorflow.examples.tutorials.mnist import input_data
	mnist = input_data.read_data_sets("./mnist/data/", one_hot=True)

	total_epoch = 100
	#include <unordered_map>
	#include <deque>
	#include <functional>
	#include <type_traits>
	#include <tuple>
	#include <utility>
	#include <memory>
	#include <algorithm>