목록Research/Semantic Communication (23)
UOMOP
DeepJSCC(My code)_batch:64, lr:0.0001, R:1/6
EPOCH : 1000
Research/Semantic Communication
2023. 10. 26. 20:13
DeepJSCC(My code)_batch:64, lr:0.0005, R:1/6
[21.4572, 28.5796, 30.3619] 기존에는 넘지 못했던 30을 넘음. epoch은 1000
Research/Semantic Communication
2023. 10. 26. 10:41
DeepJSCC(My code)_batch:128, lr:0.001, R:1/6
배치사이즈를 128로 늘리니 high SNR에서의 성능 나옴.
Research/Semantic Communication
2023. 10. 25. 14:37
DeepJSCC(My code)_batch:32, lr:0.001, R:1/6
import cv2 import math import torch import torchvision from fractions import Fraction import numpy as np import torch.nn as nn import torch.optim as optim import torch.nn.functional as f import matplotlib.pyplot as plt import torchvision.transforms as tr from torchvision import datasets from torch.utils.data import DataLoader, Dataset device = torch.device("cuda:0" if torch.cuda.is_available() e..
Research/Semantic Communication
2023. 10. 25. 10:14