Why Gemfury? Push, build, and install  RubyGems npm packages Python packages Maven artifacts PHP packages Go Modules Debian packages RPM packages NuGet packages

Repository URL to install this package:

Details    
keras / api / keras / applications / __init__.py
Size: Mime:
# This file is MACHINE GENERATED! Do not edit.
# Generated by: tensorflow/python/tools/api/generator/create_python_api.py script.
"""Keras Applications are premade architectures with pre-trained weights.
"""

import sys as _sys

from keras.api.keras.applications import convnext
from keras.api.keras.applications import densenet
from keras.api.keras.applications import efficientnet
from keras.api.keras.applications import efficientnet_v2
from keras.api.keras.applications import imagenet_utils
from keras.api.keras.applications import inception_resnet_v2
from keras.api.keras.applications import inception_v3
from keras.api.keras.applications import mobilenet
from keras.api.keras.applications import mobilenet_v2
from keras.api.keras.applications import mobilenet_v3
from keras.api.keras.applications import nasnet
from keras.api.keras.applications import regnet
from keras.api.keras.applications import resnet
from keras.api.keras.applications import resnet50
from keras.api.keras.applications import resnet_rs
from keras.api.keras.applications import resnet_v2
from keras.api.keras.applications import vgg16
from keras.api.keras.applications import vgg19
from keras.api.keras.applications import xception
from keras.applications.convnext import ConvNeXtBase
from keras.applications.convnext import ConvNeXtLarge
from keras.applications.convnext import ConvNeXtSmall
from keras.applications.convnext import ConvNeXtTiny
from keras.applications.convnext import ConvNeXtXLarge
from keras.applications.densenet import DenseNet121
from keras.applications.densenet import DenseNet169
from keras.applications.densenet import DenseNet201
from keras.applications.efficientnet import EfficientNetB0
from keras.applications.efficientnet import EfficientNetB1
from keras.applications.efficientnet import EfficientNetB2
from keras.applications.efficientnet import EfficientNetB3
from keras.applications.efficientnet import EfficientNetB4
from keras.applications.efficientnet import EfficientNetB5
from keras.applications.efficientnet import EfficientNetB6
from keras.applications.efficientnet import EfficientNetB7
from keras.applications.efficientnet_v2 import EfficientNetV2B0
from keras.applications.efficientnet_v2 import EfficientNetV2B1
from keras.applications.efficientnet_v2 import EfficientNetV2B2
from keras.applications.efficientnet_v2 import EfficientNetV2B3
from keras.applications.efficientnet_v2 import EfficientNetV2L
from keras.applications.efficientnet_v2 import EfficientNetV2M
from keras.applications.efficientnet_v2 import EfficientNetV2S
from keras.applications.inception_resnet_v2 import InceptionResNetV2
from keras.applications.inception_v3 import InceptionV3
from keras.applications.mobilenet import MobileNet
from keras.applications.mobilenet_v2 import MobileNetV2
from keras.applications.mobilenet_v3 import MobileNetV3Large
from keras.applications.mobilenet_v3 import MobileNetV3Small
from keras.applications.nasnet import NASNetLarge
from keras.applications.nasnet import NASNetMobile
from keras.applications.regnet import RegNetX002
from keras.applications.regnet import RegNetX004
from keras.applications.regnet import RegNetX006
from keras.applications.regnet import RegNetX008
from keras.applications.regnet import RegNetX016
from keras.applications.regnet import RegNetX032
from keras.applications.regnet import RegNetX040
from keras.applications.regnet import RegNetX064
from keras.applications.regnet import RegNetX080
from keras.applications.regnet import RegNetX120
from keras.applications.regnet import RegNetX160
from keras.applications.regnet import RegNetX320
from keras.applications.regnet import RegNetY002
from keras.applications.regnet import RegNetY004
from keras.applications.regnet import RegNetY006
from keras.applications.regnet import RegNetY008
from keras.applications.regnet import RegNetY016
from keras.applications.regnet import RegNetY032
from keras.applications.regnet import RegNetY040
from keras.applications.regnet import RegNetY064
from keras.applications.regnet import RegNetY080
from keras.applications.regnet import RegNetY120
from keras.applications.regnet import RegNetY160
from keras.applications.regnet import RegNetY320
from keras.applications.resnet import ResNet101
from keras.applications.resnet import ResNet152
from keras.applications.resnet import ResNet50
from keras.applications.resnet_rs import ResNetRS101
from keras.applications.resnet_rs import ResNetRS152
from keras.applications.resnet_rs import ResNetRS200
from keras.applications.resnet_rs import ResNetRS270
from keras.applications.resnet_rs import ResNetRS350
from keras.applications.resnet_rs import ResNetRS420
from keras.applications.resnet_rs import ResNetRS50
from keras.applications.resnet_v2 import ResNet101V2
from keras.applications.resnet_v2 import ResNet152V2
from keras.applications.resnet_v2 import ResNet50V2
from keras.applications.vgg16 import VGG16
from keras.applications.vgg19 import VGG19
from keras.applications.xception import Xception
from tensorflow.python.util import module_wrapper as _module_wrapper

if not isinstance(_sys.modules[__name__], _module_wrapper.TFModuleWrapper):
  _sys.modules[__name__] = _module_wrapper.TFModuleWrapper(
      _sys.modules[__name__], "keras.applications", public_apis=None, deprecation=True,
      has_lite=False)