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Understanding VGG Networks: A Guide for ML Engineers in Retail Computer Vision

4 min readApr 6, 2025

What is VGG?

VGG (Visual Geometry Group) is a deep convolutional neural network developed by researchers at the University of Oxford.

It gained popularity after performing extremely well in the ImageNet 2014 challenge.

There are two main variants:

  • VGG16–16 weight layers
  • VGG19–19 weight layers

Key Characteristics:

  • Depth: Comes in variants like VGG16 (16 learnable layers) and VGG19 (19 layers)
  • Uniformity: Uses small 3×3 filters throughout the network
  • Simplicity: Follows a consistent pattern of convolutional and pooling layers

Why VGG Matters for…

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Prem Vishnoi(cloudvala)
Prem Vishnoi(cloudvala)

Written by Prem Vishnoi(cloudvala)

Head of Data and ML experienced in designing, implementing, and managing large-scale data infrastructure. Skilled in ETL, data modeling, and cloud computing

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