PyTorch : Convolutional Variational Autoencoder

import libraries import numpy as np import torch import torch.nn as nn import torch.optim as optim import torch.nn.init as init import torchvision.datasets as dset import torchvision.transforms as transforms from torch.utils.data import DataLoader from torch.autograd import Variable import torchvision.utils as v_utils import matplotlib.pyplot as plt set hyperparameters batch_size = 128 learning_rate = 0.0005 num_epoch = 1 hidden_size = 2 데이터 생성 download data mnist_train = dset.MNIST("./", train=...