PyTorch课程：09-Flatten、Reshape和Squeeze说明（基于张量）

PyTorch张量操作详解

• Reshaping Operations - Tensors For Deep Learning

  • Reshaping Operations For Tensors

  • • An Analogy For Tensors

  • Tensor Shape Review

  • Reshaping A Tensor In PyTorch

  • • Changing Shape By Squeezing And Unsqueezing

  • Flatten A Tensor

  • Concatenating Tensors

  • Conclusion About Reshaping Tensors

Reshaping Operations - Tensors For Deep Learning

在对具体张量操作进行深入探讨之前，我们先通过了解主要的操作类别（其中包括后续将要介绍的内容）来获得一个整体的认识。以下为几个高级别的操作分类：

1. 形状变换操作 (Reshaping operations)
2. 元素级操作 (Element-wise operations)
3. 聚合操作 (Reduction operations)
4. 访问操作 (Access operations)

由于