depth-reduced U-Net for lightweight medical image segmentationAdd tutorial for depth-reduced U-Net model

[Vishaldave45]

This PR adds a documentation tutorial demonstrating true parameter reduction in MONAI U-Net models via architectural depth reduction.

The tutorial compares a standard U-Net with a depth-reduced variant, highlighting parameter savings and discussing efficiency–accuracy trade-offs relevant to resource-constrained medical imaging deployment scenarios.

The example is lightweight, CPU-friendly, and intended for educational and research-oriented use within the MONAI documentation.

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✨ Finishing touches

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Post copyable unit tests in a comment

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