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import torch
from torch import nn, optim
from torch.utils.data import TensorDataset, Dataset, DataLoader
import tqdm
from torchvision.datasets import ImageFolder
from torchvision import transforms
!wget https://github.com/lucidfrontier45/PyTorch-Book/raw/master/data/taco_and_burrito.tar.gz
!tar -zxvf './taco_and_burrito.tar.gz'
import torch
from torch import nn, optim
from torch.utils.data import TensorDataset, Dataset, DataLoader
import tqdm
from torchvision.datasets import FashionMNIST
from torchvision import transforms
fashion_mnist_train = FashionMNIST("data/FashionMNIST", train=True, download=True, transform=transforms.ToTensor())
from torch import optim
from torch.utils.data import TensorDataset, DataLoader
from sklearn.model_selection import train_test_split
from sklearn.datasets import load_digits
X = digits.data
Y = digits.target
X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.3)
import os
import glob
import math
import random
import datetime
import pickle
import numpy as np
import matplotlib.pyplot as plt
import os
import glob
import math
import random
import numpy as np
import matplotlib.pyplot as plt
from tensorflow.python import keras
from tensorflow.python.keras import backend as K
import os
import glob
import math
import random
import numpy as np
import matplotlib.pyplot as plt
from tensorflow.python import keras
from tensorflow.python.keras import backend as K
import os
import glob
import math
import random
import numpy as np
import matplotlib.pyplot as plt
import cv2
from tensorflow.python import keras
import os
import glob
import math
import random
import numpy as np
import matplotlib.pyplot as plt
from tensorflow.python import keras
from tensorflow.python.keras import backend as K
from tensorflow.python.keras.applications.vgg16 import VGG16
from tensorflow.python.keras.models import Sequential
from tensorflow.python.keras.layers import Dropout, Flatten, Dense
from tensorflow.python.keras.optimizers import SGD
from tensorflow.python.keras.preprocessing.image import ImageDataGenerator
from tensorflow.python.keras.applications.vgg16 import preprocess_input
from tensorflow.python.keras.callbacks import ModelCheckpoint, CSVLogger
import os
from datetime import datetime
import json
# サンプル画像を表示する関数
import glob
import os
import random
import math
import numpy as np
import pandas as pd
import matplotlib
# matplotlib.use('Agg')