TensorFlow version (you are using): 2.5
Are you willing to contribute it (Yes/No): Yes. As much as possible.
Describe the feature and the current behavior/state.
Model like SE-ResNet( [18, 34, 50, 101, 152] ) are absent (IDK why) in keras application along with other models. So, I think, It would be a good addition to the keras core library.
Will this change the current api? How?
Yes. It will change as follows
Thanks for opening the issue. Can you provide a paragraph as a proposal for justifying adding this model? If you can provide some context of how widely this is used or some citation, that would be helpful.
System information.
TensorFlow version (you are using): 2.5 Are you willing to contribute it (Yes/No): Yes. As much as possible.
Describe the feature and the current behavior/state.
Model like
SE-ResNet
( [18, 34, 50, 101, 152] ) are absent (IDK why) inkeras
application along with other models. So, I think, It would be a good addition to the keras core library.Will this change the current api? How? Yes. It will change as follows
Who will benefit from this feature? ML engineers and researcher who uses
tf.keras
.Others
Others implementation: https://github.com/qubvel/classification_models