This release includes EfficientNetXL model variants.
Due to huge number of layers in this variant:
- The naming convention had to be changed as we exhausted the entire alphabet.
- The Python's default recursion limit has to be increased upon model creation.
Also more weights have been released: imagenet-21k and imagenet-21k-ft1k pretrained models. The names mimic those from original repository.