New Entry - PyTorch - Tensor Operations - Tan

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

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+---
+Title: '.tan()'
+Description: 'Returns the tangent of each element in the input tensor.'
+Subjects:
+  - 'Computer Science'
+  - 'Machine Learning'
+Tags:
+  - 'Deep Learning'
+  - 'PyTorch'
+  - 'Tensors'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/machine-learning'
+---
+
+The **`.tan()`** function returns the tangent of each element in the input [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors). It is part of PyTorch’s math operations used in deep learning and scientific computing.
+
+## Syntax
+
+```py
+torch.tan(input, *, out=None) → Tensor
+```
+
+**Parameters:**
+
+- `input` (Tensor): Input tensor with one or more elements in radians.
+- `out` (Tensor, optional): Optional tensor to store the output.
+
+**Return value:**
+
+A tensor containing the tangent of each input element, with the same shape as the input tensor.
+
+## Example 1: Using `.tan()` with a 1D tensor
+
+In this example, `.tan()` computes the tangent of a 1D tensor containing angles in radians:
+
+```py
+import torch
+
+# Create a tensor with values in radians
+input_tensor = torch.tensor([0, torch.pi / 4, torch.pi / 6])
+
+# Compute the tangent
+output_tensor = torch.tan(input_tensor)
+
+print(output_tensor)
+```
+
+The output of this code is:
+
+```shell
+tensor([0.0000, 1.0000, 0.5774])
+```
+
+## Example 2: Applying `.tan()` with a 2D tensor
+
+In this example, `.tan()` is applied to a 2D tensor of angles in radians:
+
+```py
+import torch
+
+# Create a 2x2 tensor with elements with values in radians
+matrix = torch.tensor([[0, torch.pi / 4], [torch.pi, torch.pi / 6]])
+
+# Compute the tangent
+result = torch.tan(matrix)
+
+print(result)
+```
+
+The output of this code is:
+
+```shell
+tensor([[0.0000, 1.0000],
+        [0.0000, 0.5774]])
+```