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Created 4 years ago
import time
import scipy.io
import numpy as np
import random
import matplotlib.pyplot as plt
from sklearn.preprocessing import StandardScaler
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.utils.data.dataloader import DataLoader
from torch.autograd import Variable
from torch.utils.data import TensorDataset
mnist = scipy.io.loadmat('mnist_all.mat')
mnist
%matplotlib inline
fig, ax = plt.subplots(1, 3, figsize = (15, 5))
ax[0].matshow(mnist['train0'][random.randint(0,1000)].reshape(28,28), cmap=plt.cm.gray_r)
ax[1].matshow(mnist['train9'][109].reshape(28,28), cmap=plt.cm.gray_r)
ax[2].matshow(mnist['train8'][200].reshape(28,28), cmap=plt.cm.gray_r)
plt.subplots_adjust(wspace = 0, hspace = 0) #odleglosc obrazkow od siebie