pytorch matplotlib导包

在使用PyTorch和Matplotlib进行数据可视化时，你需要导入以下包：

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

同时，你还需要导入其他相关的包，例如：

from sklearn.metrics import accuracy_score, confusion_matrix, classification_report
import copy
import time
import torch
import torch.nn as nn
from torch.optim import Adam
import torch.utils.data as Data
from torchvision import transforms
from torchvision.datasets import FashionMNIST

这些包提供了在PyTorch中进行模型训练和评估所需的功能，以及在Matplotlib中进行数据可视化所需的功能。\[1\]\[2\]\[3\]
#### 引用[.reference_title]
- *1* *2* *3* [pytorch 卷积神经网络识别Fashion-MNIST](https://blog.csdn.net/hhhhxxn/article/details/110734822)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v91^control_2,239^v3^insert_chatgpt"}} ] [.reference_item]
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