Multi Layer Perceptron

import numpy as np
import torch
from torch import nn, optim
from torch.nn import functional as F
from torchvision import datasets, transforms
import matplotlib.pyplot as plt
%matplotlib inline  
%config InlineBackend.figure_format='retina'
print ("PyTorch version:[%s]."%(torch.__version__))

# Device Configuration
device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
print ("This notebook use [%s]."%(device))

%matplotlib inline

sets the backend of matplotlib to the 'inline' backend. With this backend, the output of plotting commands is displayed inline within frontends like the Jupyter notebook, directly below the code cell that produced it. The resulting plots will then also be stored in the notebook document.

%config InlineBackend.figure_format='retina'

matplot 그래프를 retina mode로 설정하여, 더 높은 해상도로 출력한다.

device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')