摘要: import os os.environ["KMP_DUPLICATE_LIB_OK"]="TRUE" import sys sys.path.append('.') import numpy as np import matplotlib.pyplot as plt import random i 阅读全文
posted @ 2026-01-09 23:51 飕飕 阅读(9) 评论(0) 推荐(0)
摘要: import os import numpy as np import matplotlib.pyplot as plt import matplotlib.font_manager as fm import time import torch import torch.nn as nn impor 阅读全文
posted @ 2025-12-26 11:43 飕飕 阅读(9) 评论(0) 推荐(0)
摘要: `import numpy as np import matplotlib.pyplot as plt import time import torch import torch.nn as nn import torch.optim as optim from torch.utils.data i 阅读全文
posted @ 2025-12-26 00:44 飕飕 阅读(3) 评论(0) 推荐(0)
摘要: 观看了吴世枫老师推荐的“一步步深入浅出解释Transformer原理”的科普视频后,让我对这一改变 AI 发展轨迹的技术有了系统且直观的认知,不仅理清了模型的架构逻辑,更体会到其背后的技术创新思维。视频以生动的案例、清晰的逻辑拆解了 Transformer 模型的核心原理,现将学习报告总结如下: 视 阅读全文
posted @ 2025-12-26 00:22 飕飕 阅读(7) 评论(0) 推荐(0)
摘要: import numpy as np import torch import torch.nn as nn import torch.optim as optim from torch.utils.data import Dataset, DataLoader import random 用户输入参 阅读全文
posted @ 2025-12-04 18:14 飕飕 阅读(10) 评论(0) 推荐(0)
摘要: 1 训练 import torch from torch.utils.data import DataLoader from torchvision import transforms from torchvision.datasets import MNIST import matplotlib. 阅读全文
posted @ 2025-10-30 23:31 飕飕 阅读(14) 评论(0) 推荐(0)
摘要: `import torch import torch.nn as nn import torch.optim as optim from torch.utils.data import DataLoader from torchvision import datasets, transforms i 阅读全文
posted @ 2025-10-16 00:23 飕飕 阅读(17) 评论(0) 推荐(0)
摘要: 读书报告 NumPy基本函数与示例 NumPy是Python中用于科学计算的基础库,提供了高性能的多维数组对象及相关工具。 基本函数用法 import numpy as np 创建数组 arr1 = np.array([1, 2, 3]) # 一维数组 arr2 = np.zeros((3, 3)) 阅读全文
posted @ 2025-06-29 21:30 飕飕 阅读(26) 评论(0) 推荐(0)
摘要: `import jieba from collections import Counter import re 人物名称合并规则(可根据实际情况补充) name_mapping = { "宁采臣": ["宁生", "宁公子", "宁郎"], "聂小倩": ["小倩", "聂女", "倩娘"], "燕 阅读全文
posted @ 2025-06-29 21:20 飕飕 阅读(166) 评论(0) 推荐(0)
摘要: import pygame import sys import random import os pygame.init() SCREEN_WIDTH = 800 SCREEN_HEIGHT = 600 GRAVITY = 0.5 JUMP_FORCE = -10 PIPE_SPEED = 5 PI 阅读全文
posted @ 2025-06-22 01:27 飕飕 阅读(36) 评论(0) 推荐(0)