1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 12..
1234567891011121314151617181920212223242526272829303132333435363738394041424344import tensorflow as tffrom tensorflow import kerasimport matplotlib.pyplot as pltimport numpy as npfrom mnist_test.number_checker import NumberCheckerfrom mnist_test.fashion_checker import FashionChecker class FashionChecker: def __init__(self): self.class_names = ['T-shirt/top', 'Trouser', 'Pullover', 'Dress', 'Coat..
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051import tensorflow as tfimport numpy as npimport matplotlib.pyplot as plt rng = np.random# parameterlearning_rate = 0.01training_epochs = 1000display_step = 50# Training Datatrain_X = np.asarray([3.3,4.4,5.5,6.71,6.93,4.168,9.779,6.182,7.59,2.167, 7.042,10.791,5.313,7.997,5.654,9.27,3.1])train_Y = np.asar..
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140import pandas as pdimport plotly.offline as offlineimport plotly.graph_objs as goimpor..
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778package texas.sbq.travel.services; import java.util.HashMap;import java.util.List; import org.jsoup.Jsoup;import org.jsoup.nodes.Document;import org.jsoup.select.Elements;import org.springframework.beans.factory.annotation.Autowired;import org.springf..
1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666768697071727374757677787980818283848586878889909192package texas.sbq.travel.controllers;import java.util.HashMap;import java.util.List;import java.util.Map;import java.util.function.Consumer;import java.util.function.Function; import org.springframework.beans.factory.annota..
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 package com.lambda.web.proxy; import com.lambda.web.mappers.MovieMapper; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.stereotype.Component; @Component public class Pager { @Autowired MovieMapper movieMapper; private int rowCount, pageCount, blockCount, rowStart, pageSt..
1 !pip install transformers cs 1 2 3 4 5 6 7 8 9 import tensorflow as tf import numpy as np import pandas as pd from transformers import * import json import numpy as np import pandas as pd from tqdm import tqdm import os cs 1 2 # 네이버 영화 감성분석 데이터 다운로드 !git clone https://github.com/e9t/nsmc.git cs 1 os.listdir('nsmc') cs 1 2 3 4 # 딥러닝 훈련에 사용 할 train 데이터와 test 데이터를 pandas dataframe 형식으로 불러옵니다. tra..
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