快速上手:https://pytorch.org/tutorials/beginner/basics/quickstart_tutorial.html
参考2:http://www.elecfans.com/d/883656.html(本文通过详实的代码,从如何安装PyTorch开始,一步一步带领读者熟悉PyTorch和Jupyter Notebook,最终使用PyTorch实现线性回归、逻辑回归以及图像分类,非常适合0基础初学者。)
PyTorch到底好用在哪里?:https://www.zhihu.com/question/65578911/answer/565574377
加载pytorch,下载数据集。。。
神经网络15分钟入门!足够通俗易懂了吧(https://zhuanlan.zhihu.com/p/65472471)
batch_size = 64 # Create data loaders. train_dataloader = DataLoader(training_data, batch_size=batch_size) test_dataloader = DataLoader(test_data, batch_size=batch_size) for X, y in test_dataloader: print(f"Shape of X [N, C, H, W]: {X.shape}") print(f"Shape of y: {y.shape} {y.dtype}") break