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+---
+Title: 'cos'
+Description: 'Computes the cosine of each element in the input tensor.'
+Subjects:
+  - 'Computer Science'
+  - 'Machine Learning'
+Tags:
+  - 'Deep Learning'
+  - 'PyTorch'
+  - 'Tensors'
+CatalogContent:
+  - 'learn-python-3'
+  - 'paths/machine-learning'
+---
+
+## torch.cos()
+
+The `torch.cos()` function computes the cosine of each element in the input tensor.
+It is part of PyTorch’s extensive mathematical operations, commonly used in scientific computing and deep learning.
+
+This function is applied element-wise and returns a tensor with the same shape as the input.
+
+### Syntax
+
+```py
+torch.cos(input, *, out=None) → Tensor
+```
+
+**Parameters:**
+- `input` (Tensor): The input tensor containing elements (in radians) to compute the cosine.
+- `out` (Tensor, optional): The output tensor to store the result.
+
+**Returns:**
+A tensor with the cosine of each element of the `input`.
+
+### Example 1: Compute cosine of a 1D tensor
+
+```py
+import torch
+
+# Create a tensor with values in radians
+x = torch.tensor([0, torch.pi / 2, torch.pi])
+
+# Compute the cosine
+y = torch.cos(x)
+
+print(y)
+```
+
+```shell
+tensor([ 1.0000,  0.0000, -1.0000])
+```
+
+### Example 2: Applying `torch.cos()` on a 2D tensor
+
+```py
+import torch
+
+# Create a 2x2 tensor
+matrix = torch.tensor([[0, torch.pi / 3], [torch.pi / 2, torch.pi]])
+
+# Compute the cosine
+result = torch.cos(matrix)
+
+print(result)
+```
+
+```shell
+tensor([[ 1.0000,  0.5000],
+        [ 0.0000, -1.0000]])
+```
+
+To learn more about tensor operations and mathematical functions in PyTorch, check out the [Intro to PyTorch and Neural Networks](https://www.codecademy.com/enrolled/courses/intro-to-py-torch-and-neural-networks) course on Codecademy.