ConvNeXt-tf-keras

tf-keras re-implementation of ConvNeXt [1] from Facebook Research.

Usage

There are two ways one can use this implementation:

• Notebook (.ipynb)
  • Simply run the cells
• .py file

Example of using .py version

from main import create_convnext_model

model = create_convnext_model(input_shape=(224, 224, 3), depths=[3, 3, 9, 3], dims=[96, 192, 384, 768], num_classes=1000)
print(model.summary())

model = create_convnext_model(depths=[3, 3, 9, 3], dims=[96, 192, 384, 768], num_classes=1000, drop_path=2., layer_scale_init_value=1e-6)
print(model.summary())

References

Paper:

[1] A ConvNet for the 2020s

Code:

[2] https://github.com/facebookresearch/ConvNeXt

[3] https://github.com/rishigami/Swin-Transformer-TF