[Term Entry] PyTorch Tensor Operations: .swapdims() (#6000)

* Added swapdims.md

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* Update swapdims.md

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content/pytorch/concepts/tensor-operations/terms/swapdims/swapdims.md

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+---
+Title: '.swapdims()'
+Description: 'Swaps two specified dimensions of a tensor, effectively transposing those dimensions.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+  - 'Machine Learning'
+Tags:
+  - 'Data'
+  - 'Deep Learning'
+  - 'Machine Learning'
+  - 'Pytorch'
+  - 'Tensor'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/machine-learning'
+---
+
+The **`.swapdims()`** function in PyTorch exchanges two specified dimensions of a tensor, simplifying [tensor manipulation and reshaping operations](https://www.codecademy.com/resources/docs/pytorch/tensor-operations). This method provides a view with the dimensions swapped, enabling efficient handling of multidimensional data for tasks like deep learning and data analysis, without copying the tensor.
+
+## Syntax
+
+```pseudo
+torch.swapdims(input, dim0, dim1) -> Tensor
+```
+
+- `input`: The tensor whose dimensions are to be swapped.
+- `dim0` (int): The first dimension to swap.
+- `dim1` (int): The second dimension to swap.
+
+## Example
+
+Here's an example demonstrating how to use the `.swapdims()` method to swap two dimensions of a tensor in PyTorch:
+
+```py
+import torch
+
+# Create a 2x3 tensor
+tensor = torch.tensor([[1, 2, 3], [4, 5, 6]])
+
+# Swap the two dimensions
+swapped_tensor = torch.swapdims(tensor, 0, 1)
+
+print("Original Tensor:")
+print(tensor)
+print("\nSwapped Tensor:")
+print(swapped_tensor)
+```
+
+This code creates a _2x3_ tensor and swaps its rows and columns:
+
+```shell
+Original Tensor:
+tensor([[1, 2, 3],
+        [4, 5, 6]])
+
+Swapped Tensor:
+tensor([[1, 4],
+        [2, 5],
+        [3, 6]])
+```