Properly implemented resnet50 and resnet101

The resnet50 and 101 models available on TF keras has bias terms after every convolutional layers. It shouldn't

https://github.com/tensorflow/tensorflow/issues/37365

This MR implement both properly

bob/learn/tensorflow/models/__init__.py

 from .alexnet import AlexNet_simplified
+from .arcface import ArcFaceLayer
+from .arcface import ArcFaceLayer3Penalties
+from .arcface import ArcFaceModel
 from .densenet import DeepPixBiS
 from .densenet import DenseNet
 from .densenet import densenet161  # noqa: F401
-from .mine import MineModel
 from .embedding_validation import EmbeddingValidation
+from .mine import MineModel
+
 from .arcface import ArcFaceLayer, ArcFaceLayer3Penalties, ArcFaceModel
 from .resnet50_modified import resnet50_modified, resnet101_modified