Drug discovery

"""View more, visit my tutorial page: https://mofanpy.com/tutorials/My Youtube Channel: https://www.youtube.com/user/MorvanZhou"""import torchimport matplotlib.pyplot as plt# fake datax = torch.unsqueeze(torch.linspace(-1, 1, 100), dim=1) # x dat.

PyTorch: Tensors 创建神经网络import torchdtype = torch.floatdevice = torch.device("cuda" if torch.cuda.is_available() else "cpu")"""我们使用PyTorch tensors来创建前向神经网络，计算损失，以及反向传播。一个PyTorch Tensor很像一个numpy的ndarray。但是它和numpy ndarray最大的区别是，PyTorch Tensor可以在CPU或

from __future__ import divisionfrom torchvision import transformsimport torchimport torchvisionimport torch.nn as nnimport matplotlib.pyplot as pltdevice = torch.device("cuda" if torch.cuda.is_available() else "cpu")print(device)batch_size=3...

完整代码：from __future__ import divisionfrom torchvision import modelsfrom torchvision import transformsfrom PIL import Imageimport torchimport torch.nn as nnimport numpy as npimport matplotlib.pyplot as pltdevice = torch.device("cuda" if torch.c.