01 2025 档案

Pytorch实现二分类问题
摘要：In [1]: import torch import pandas as pd import numpy as np import matplotlib.pyplot as plt from torch import nn from torch.utils.data import TensorDa 阅读全文
posted @ 2025-01-31 16:03 Funsion Wu 阅读(14) 评论(0) 推荐(0)
pytorch实现线性回归
摘要：In [1]: import torch import numpy as np import pandas as pd import matplotlib.pyplot as plt from torch import nn In [2]: data = pd.read_csv('./Income1 阅读全文
posted @ 2025-01-27 16:27 Funsion Wu 阅读(36) 评论(0) 推荐(0)
TensorFlow迁移学习DenseNet121预测10-monkey-species
摘要：In [1]: from tensorflow import keras import tensorflow as tf import numpy as np import pandas as pd from scipy import ndimage import matplotlib.pyplot 阅读全文
posted @ 2025-01-22 17:21 Funsion Wu 阅读(31) 评论(0) 推荐(0)
TensorFlow迁移学习Resnet50预测10-monkey-species
摘要：In [15]: from tensorflow import keras import tensorflow as tf import numpy as np import pandas as pd from scipy import ndimage import matplotlib.pyplo 阅读全文
posted @ 2025-01-22 15:00 Funsion Wu 阅读(21) 评论(0) 推荐(0)
TensorFlow实现VGG识别10-monkey-species
摘要：In [1]: from tensorflow import keras import tensorflow as tf import numpy as np import pandas as pd import matplotlib.pyplot as plt In [2]: cfgs = { ' 阅读全文
posted @ 2025-01-22 14:56 Funsion Wu 阅读(5) 评论(0) 推荐(0)
TensorFlow手写AlexNet识别10-monkey-species
摘要：In [1]: from tensorflow import keras import tensorflow as tf import numpy as np import pandas as pd import matplotlib.pyplot as plt In [9]: def AlexNe 阅读全文
posted @ 2025-01-21 15:14 Funsion Wu 阅读(7) 评论(0) 推荐(0)
TensorFlow卷积神经网络识别10-monkey-species
摘要：In [1]: from tensorflow import keras import tensorflow as tf import numpy as np import pandas as pd import matplotlib.pyplot as plt In [2]: # 文件下载地址 h 阅读全文
posted @ 2025-01-20 13:40 Funsion Wu 阅读(5) 评论(0) 推荐(0)
TensorFlow卷积神经网络识别CiFar10物品分类
摘要：In [1]: import numpy as np import pandas as pd import matplotlib.pyplot as plt import tensorflow as tf from sklearn.preprocessing import StandardScale 阅读全文
posted @ 2025-01-19 22:55 Funsion Wu 阅读(17) 评论(0) 推荐(0)
TensorFlow识别CiFar10物品分类
摘要：In [1]: import numpy as np import pandas as pd import matplotlib.pyplot as plt import tensorflow as tf from sklearn.preprocessing import StandardScale 阅读全文
posted @ 2025-01-19 16:38 Funsion Wu 阅读(12) 评论(1) 推荐(0)
TensorFlow手写数字识别
摘要：In [1]: import numpy as np import matplotlib.pyplot as plt import tensorflow as tf from sklearn.preprocessing import StandardScaler import pandas as p 阅读全文
posted @ 2025-01-19 11:50 Funsion Wu 阅读(8) 评论(0) 推荐(0)