DPS0340

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

"""Inception v3 architecture 모델을 retraining한 모델을 이용해서 이미지에 대한 추론(inference)을 진행하는 예제"""

import numpy as np
import tensorflow as tf

imagePath = '/tmp/test_chartreux.jpg'                                      # 추론을 진행할 이미지 경로
modelFullPath = '/tmp/output_graph.pb'                                      # 읽어들일 graph 파일 경로
labelsFullPath = '/tmp/output_labels.txt'                                   # 읽어들일 labels 파일 경로

DPS0340

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

"""Inception v3 architecture 모델을 이용한 간단한 Transfer Learning (TensorBoard 포함)

This example shows how to take a Inception v3 architecture model trained on
ImageNet images, and train a new top layer that can recognize other classes of
images.

The top layer receives as input a 2048-dimensional vector for each image. We
train a softmax layer on top of this representation. Assuming the softmax layer

DPS0340

def run():
    print('''어디까지 소수인지 체크할건지 범위를 정해야 합니다.
    범위를 정해주세요.''')
    a = int(input())
    print("무슨 숫자가 소수인지 아닌지 알고 싶으신가요?")
    b = int(input())
    result = []
    primetable = []
    notprimetable = []
    ran1 = list(range(a + 1)) # a까지 범위 설정

DPS0340

미완성

DPS0340

deepi Script Description
deepiscript is a script that is executed using a Python parser.
You can use the title of the maketag title to create the tag, and use the title of the title.

Grammar explanation
Except for simple text, all commands use parentheses ().
The first argument in parentheses is the command.
The execution order is miraculously read from left to right, but the parentheses in parentheses are calculated first.

Command description

DPS0340

# to generate your dhparam.pem file, run in the terminal
openssl dhparam -out /etc/nginx/ssl/dhparam.pem 2048

DPS0340

# to generate your dhparam.pem file, run in the terminal
openssl dhparam -out /etc/nginx/ssl/dhparam.pem 2048

DPS0340

package main

import "fmt"
import "math/rand"
import "sync"

func main() {
	var wg sync.WaitGroup
	length := 1.0
	oncircle := 0

DPS0340

/* Made by jiho lee, 2019 */
import com.dropbox.core.DbxRequestConfig;
import com.dropbox.core.DbxException;
import com.dropbox.core.v2.DbxClientV2;
import com.dropbox.core.v2.files.FileMetadata;
import java.io.File;
import java.io.FileInputStream;
import javax.swing.*;
import java.awt.*;
import java.awt.dnd.*;

DPS0340

from keras.layers.core import Dense, Activation, Dropout
from keras.layers.recurrent import LSTM
from keras.models import Sequential
from numpy import newaxis

import matplotlib.pyplot as plt
import numpy as np
from keras.layers.core import Dense, Activation, Dropout
from sklearn.model_selection import train_test_split