接着这一篇博客做进一步说明: 机器学习 - 准备数据
PyTorch moduleExplaintorch.nnContains all of the building blocks for computational graphs (essentially a series of computations executed in a particular way). nn 模块为用户提供了丰富的神经网络组件…
接着这一篇博客做进一步说明: 机器学习 - 选择模型
为了解决测试和预测之间的差距,可以通过更新 internal parameters, the weights set randomly use nn.Parameter() and bias set randomly use torch.randn(). Much of the time you won’t know what…