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Update README.md with new model card content
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README.md
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- image-classification
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pipeline_tag: image-classification
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---
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The VGG model is a type of convolutional neural network (CNN) architecture designed for image recognition and classification tasks. Developed by the Visual Geometry Group at the University of Oxford, it was introduced in the paper titled "Very Deep Convolutional Networks for Large-Scale Image Recognition" by Karen Simonyan and Andrew Zisserman in 2014. This model is supported in both KerasCV and KerasHub. KerasCV will no longer be actively developed, so please try to use KerasHub.
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# User Timm presets directly from HuggingFace
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model = keras_hub.models.ImageClassifier.from_preset('hf://timm/vgg11.tv_in1k')
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```
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- image-classification
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pipeline_tag: image-classification
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### Model Overview
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The VGG model is a type of convolutional neural network (CNN) architecture designed for image recognition and classification tasks. Developed by the Visual Geometry Group at the University of Oxford, it was introduced in the paper titled "Very Deep Convolutional Networks for Large-Scale Image Recognition" by Karen Simonyan and Andrew Zisserman in 2014. This model is supported in both KerasCV and KerasHub. KerasCV will no longer be actively developed, so please try to use KerasHub.
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# User Timm presets directly from HuggingFace
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model = keras_hub.models.ImageClassifier.from_preset('hf://timm/vgg11.tv_in1k')
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```
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