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全部文章 / 神经网络（共11篇）

卷积神经网络高级篇

1，构造一个复杂的卷积神经网络： import torch from torchvision import transforms from torchvision import datasets from torch.utils.data import DataLoader import torch...

Python3

2022-10-31

0 377

卷积神经网络基础篇

1，使用卷积神经网络解决MNIST import torch from torchvision import transforms from torchvision import datasets from torch.utils.data import DataLoader import torc...

Python3

2022-10-29

0 397

Otto Group Product Classification

1, kaggle挑战，解决多分类 import numpy as np import pandas as pd from torch.utils.data import Dataset, DataLoader import torch import torch.optim as optim imp...

Python3

2022-10-29

0 423

softmax函数、MNIST数据集

1，处理多分类问题： # 10月27 import torch # criterion = torch.nn.CrossEntropyLoss() # Y = torch.LongTensor([2,0,1]) # Y_pred1 = torch.Tensor([ # [0.1,0.2,0...

Python3

2022-10-29

0 384

sklearn解决kaggle的titanic问题

1，代码如下： # titanic Solution # 1,prepare data import imp import pandas as pd import numpy as np import matplotlib.pyplot as plt from scipy.fft import r...

Python3

2022-10-20

0 374

加载数据集

1，代码： # 10月16日 import torch import numpy as np from torch.utils.data import Dataset from torch.utils.data import DataLoader class DiabetesDataset(Dat...

Python3

2022-10-17

0 262

处理多维数据输入

1，代码如下： import numpy as np import torch import matplotlib.pyplot as plt xy = np.loadtxt('deep_learn/diabetes.csv.gz',delimiter=',',dtype=np.float32) ...

Python3

2022-10-16

0 359

pytorch实现logisticRegressionModel

1，代码如下 import imp from statistics import mode import torch.nn.functional as F import torch # 1, Prepare data x_data = torch.Tensor([[1.0],[2.0],[3.0...

Python3

2022-10-14

0 308

pytorch实现SGD模型

1，代码如下： from statistics import mode import torch x_data = torch.Tensor([[1.0],[2.0],[3.0]]) y_data = torch.Tensor([[2.0],[4.0],[6.0]]) class LinearM...

Python3

2022-10-14

0 452

构造BP网络使用反向传播拟合线性、非线性模型

1，拟合y = w*x (训练集的w=2，结果越接近2拟合效果越好) 代码如下： # y = wx模型 import torch import matplotlib.pyplot as plt x_data = [1.0, 2.0, 3.0] y_data = [2.0, 4.0, 6.0] ...

Python3

2022-10-05

1 1024