diff --git a/content/pytorch/concepts/tensors/terms/cosh/cosh.md b/content/pytorch/concepts/tensors/terms/cosh/cosh.md
new file mode 100644
index 00000000000..8f895097f96
--- /dev/null
+++ b/content/pytorch/concepts/tensors/terms/cosh/cosh.md
@@ -0,0 +1,19 @@
+# .cosh()
+
+## Introduction
+The `.cosh()` function in PyTorch computes the **hyperbolic cosine** of each element in the input tensor. The hyperbolic cosine, denoted as `cosh(x)`, is a mathematical function that is useful in various fields, including geometry, physics, and machine learning.
+
+The hyperbolic cosine is defined as:
+\[
+\cosh(x) = \frac{e^x + e^{-x}}{2}
+\]
+
+In PyTorch, the `.cosh()` function allows you to apply this operation **element-wise** to all elements of a tensor, which is particularly useful for tensor computations in scientific and engineering applications.
+
+---
+
+## Syntax
+```python
+torch.cosh(input, *, out=None) -> Tensor
+
+