[Term Entry] PyTorch Tensors: .dstack() (#5750)

* [Term Entry] PyTorch Tensors: .dstack()

* Update dstack.md

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content/pytorch/concepts/tensors/terms/dstack/dstack.md

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+---
+Title: '.dstack()'
+Description: 'Stacks a sequence of tensors depthwise along the third axis, creating a new tensor.'
+Subjects:
+  - 'AI'
+  - 'Data Science'
+Tags:
+  - 'AI'
+  - 'Deep Learning'
+  - 'Machine Learning'
+  - 'Functions'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'py-torch-for-classification'
+---
+
+In PyTorch, the **`.dstack()`** function stacks a sequence of tensors depthwise, i.e., along the third axis (axis=2), creating a new tensor.
+
+## Syntax
+
+```pseudo
+torch.dstack(tensors, *, out=None)
+```
+
+- `tensors`: A sequence (e.g., list or tuple) of tensors to be stacked depthwise along the third axis.
+- `out` (Optional): A tensor where the output will be stored, if provided.
+
+## Example
+
+The following example demonstrates the usage of the `.dstack()` function:
+
+```py
+import torch
+
+# Create tensors
+ten1 = torch.tensor([11, 22, 33])
+ten2 = torch.tensor([12, 23, 34])
+
+# Stack the tensors depthwise
+res = torch.dstack((ten1, ten2))
+
+print(res)
+```
+
+The above code produces the following output:
+
+```shell
+tensor([[[11, 12],
+         [22, 23],
+         [33, 34]]])
+```