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+---
+Title: '.rad2deg()'
+Description: 'Converts the elements of a tensor from radians to degrees.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Functions'
+  - 'PyTorch'
+  - 'Tensor'
+  - 'Trigonometry'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/data-science'
+---
+
+The **`.rad2deg()`** function in PyTorch converts the elements of a tensor from radians to degrees. This is useful for trigonometric and rotational operations when working with angular measurements. The operation is performed element-wise, meaning it applies the conversion formula ($$\text{degrees} = \text{radians} \times \frac{180}{\pi}$$) to every value in the tensor, returning a new tensor with the results.
+
+This function is available for tensors with floating-point data types such as `torch.float16`, `torch.float32`, or `torch.float64`.
+
+## Syntax
+
+```pseudo
+torch.rad2deg(input)
+```
+
+**Parameters:**
+
+- `input` (Tensor): A tensor containing angular values in radians.
+
+**Return value:**
+
+Returns a tensor containing the degree equivalents of the original tensor's elements. The returned tensor has the same size and data type as the original input tensor.
+
+## Example
+
+This example demonstrates how to use `.rad2deg()` to convert common angular values ($\pi$ radians and $\frac{\pi}{2}$ radians) into degrees:
+
+```py
+import torch
+import math
+
+# Create a tensor with values in radians
+radians_tensor = torch.tensor([
+  math.pi / 2,
+  math.pi,
+  0.0
+])
+
+print("Original Tensor (Radians):")
+print(radians_tensor)
+
+# Convert radians to degrees using torch.rad2deg()
+degrees_tensor = torch.rad2deg(radians_tensor)
+
+print("\nConverted Tensor (Degrees):")
+print(degrees_tensor)
+```
+
+The output of this code is:
+
+```shell
+Original Tensor (Radians):
+tensor([1.5708, 3.1416, 0.0000])
+
+Converted Tensor (Degrees):
+tensor([ 90.0000, 180.0000,   0.0000])
+```