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Capabilities · access · specificationsVGG is a deep convolutional neural network architecture developed by the Visual Geometry Group at Oxford. Known for its simplicity and depth (16-19 layers), VGG demonstrated that network depth is critical for good performance and became widely used for transfer learning.
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Specifications
- Released
- September 2014
Capabilities
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