solaris33

import tensorflow as tf

i = tf.constant(0)

def cond(i):
  return tf.less(i, 10)

def body(i):
  return tf.add(i, 1)

solaris33

# -*- coding: utf-8 -*-
import numpy as np
import tensorflow as tf

def get_input_fn(dataset_split, batch_size, capacity=10000, min_after_dequeue=3000):

  def _input_fn():
    images_batch, labels_batch = tf.train.shuffle_batch(
        tensors=[dataset_split.images, dataset_split.labels.astype(np.int32)],
        batch_size=batch_size,

solaris33

# -*- coding: utf-8 -*-
import numpy as np
import tensorflow as tf

def get_input_fn(dataset_split, batch_size, capacity=10000, min_after_dequeue=3000):

  def _input_fn():
    images_batch, labels_batch = tf.train.shuffle_batch(
        tensors=[dataset_split.images, dataset_split.labels.astype(np.int32)],
        batch_size=batch_size,

solaris33

# -*- coding: utf-8 -*-
"""tf.estimator API를 이용한 TensorFlow Wide & Deep Tutorial 예제"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import os
import shutil

from absl import app as absl_app

solaris33

# -*- coding: utf-8 -*-
# Convolutional Neural Networks(CNN)을 이용한 MNIST 분류기(Classifier)
# Author : solaris33
# Project URL : http://solarisailab.com/archives/2524

import tensorflow as tf
import os

# MNIST 데이터를 다운로드 합니다.
from tensorflow.examples.tutorials.mnist import input_data

solaris33

# -*- coding: utf-8 -*-

# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#

solaris33

import tensorflow as tf
import tensorflow_hub as hub
import matplotlib.pyplot as plt
import numpy as np
import os
import pandas as pd
import re
import seaborn as sns

solaris33

# -*- coding: utf-8 -*-
# Char-RNN 예제
# Author : solaris33
# Project URL : http://solarisailab.com/archives/2487
# GitHub Repository : https://github.com/solaris33/char-rnn-tensorflow/
# Reference : https://github.com/sherjilozair/char-rnn-tensorflow

import tensorflow as tf
import numpy as np

solaris33

# -*- coding: utf-8 -*-
"""
GAN(Generative Adversarial Networks)을 이용한 MNIST 데이터 생성

Reference : https://github.com/TengdaHan/GAN-TensorFlow

Author : solaris33
Project URL : http://solarisailab.com/archives/2482
"""

solaris33

# -*- coding: utf-8 -*-

# tf.train.QueueRunner 예제

# original source:
# https://github.com/Hezi-Resheff/Oreilly-Learning-TensorFlow/blob/master/08__queues_threads/queue_basic.py

from __future__ import print_function

import tensorflow as tf