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Update chapters/en/unit2/cnns/convnext.mdx
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Co-authored-by: Merve Noyan <merveenoyan@gmail.com>
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sergiopaniego and merveenoyan authored May 15, 2024
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Expand Up @@ -10,7 +10,7 @@ ConvNext represents a significant improvement to pure convolution models by inco
The author of the ConvNeXT paper starts building the model with a regular ResNet (ResNet-50), then modernizes and improves the architecture step-by-step to imitate the hierarchical structure of Vision Transformers.
The key improvements are:
- Training techniques
- Macro Design.
- Macro design
- ResNeXt-ify.
- Inverted Bottleneck.
- Large Kernel Sizes.
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