Added docs for the .max() method

Author: abdultalha0862

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

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+---
+Title: '.max()'
+Description: 'Returns the maximum value of a tensor.'
+Subjects:
+  - 'Computer Science'
+  - 'Data Science'
+Tags:
+  - 'Deep Learning'
+  - 'Methods'
+  - 'PyTorch'
+  - 'Tensor'
+CatalogContent:
+  - 'intro-to-py-torch-and-neural-networks'
+  - 'paths/data-science'
+---
+
+The **`.max()`** method in PyTorch returns the maximum value from a [tensor](https://www.codecademy.com/resources/docs/pytorch/tensors). It can find the maximum value across the entire tensor. This method is commonly used in data analysis, finding peak values, and various neural network operations.
+
+## Syntax
+
+```pseudo
+torch.max(input) → Tensor
+```
+
+**Parameters:**
+
+- `input` (Tensor): The input tensor.
+
+**Return value:**
+
+Returns a tensor containing the maximum value from the `input`.
+
+## Example
+
+The following example demonstrates how to use the `.max()` method to find the maximum value in a tensor:
+
+```py
+import torch
+
+# Create a tensor with various values
+tensor = torch.tensor([1.5, -2.3, 0.0, 4.8, -1.2])
+
+# Find the maximum value using the method form
+max_value = tensor.max()
+
+# Alternative: use the functional form
+max_functional = torch.max(tensor)
+
+print("Original Tensor:")
+print(tensor)
+
+print("\nMaximum Value (using .max()):")
+print(max_value)
+
+print("\nMaximum Value (using torch.max()):")
+print(max_functional)
+
+print("\nMaximum as Python number (using .item()):")
+print(max_value.item())
+```
+
+This example results in the following output:
+
+```shell
+Original Tensor:
+tensor([ 1.5000, -2.3000,  0.0000,  4.8000, -1.2000])
+
+Maximum Value (using .max()):
+tensor(4.8000)
+
+Maximum Value (using torch.max()):
+tensor(4.8000)
+
+Maximum as Python number (using .item()):
+4.800000190734863
+```
+
+In this example:
+
+- The tensor contains five values: `1.5`, `-2.3`, `0.0`, `4.8`, and `-1.2`
+- The `.max()` method identifies `4.8` as the maximum value in the tensor
+- Both `.max()` and `torch.max()` produce identical results: `tensor(4.8000)`
+- The `.item()` method converts the tensor result to a Python float: `4.800000190734863`