Deep learning
CIFAR-10 Classification
import torch import torchvision import torchvision.transforms as transforms import torch.nn as nn import torch.nn.functional as F import torch.optim as optim import os, sys import random, math, time import shutil import numpy as np import matplotlib.pyplot as plt LEARNING_RATE = 1e-3 MOMENTUM = 0.9 EPOCHS = 10 BATCH_SIZE = 4 device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') p..
