https://github.com/en10/kerasapplications
Using Keras models for image classification.
https://github.com/en10/kerasapplications
keras keras-classification-models keras-models keras-neural-networks
Last synced: 3 months ago
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Using Keras models for image classification.
- Host: GitHub
- URL: https://github.com/en10/kerasapplications
- Owner: EN10
- Created: 2020-10-11T11:29:58.000Z (almost 6 years ago)
- Default Branch: main
- Last Pushed: 2020-10-23T21:34:40.000Z (over 5 years ago)
- Last Synced: 2025-06-04T01:29:06.324Z (about 1 year ago)
- Topics: keras, keras-classification-models, keras-models, keras-neural-networks
- Language: Jupyter Notebook
- Homepage:
- Size: 4.4 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Keras Applications
* [Keras Inception](https://github.com/EN10/KerasInception)
* [Keras Models](https://github.com/EN10/KerasModels)
* [neural networks 101](https://codelabs.developers.google.com/codelabs/cloud-tensorflow-mnist?hl=en#3)
```
from tensorflow.keras.applications.[file] import *
[file]:
'densenet',
'efficientnet',
'imagenet_utils',
'inception_resnet_v2',
'inception_v3',
'mobilenet',
'mobilenet_v2',
'nasnet',
'resnet',
'resnet50',
'resnet_v2',
'vgg16',
'vgg19',
'xception'
model = [MODEL](weights='imagenet')
[MODEL]:
'DenseNet121',
'DenseNet169',
'DenseNet201',
'EfficientNetB0',
'EfficientNetB1',
'EfficientNetB2',
'EfficientNetB3',
'EfficientNetB4',
'EfficientNetB5',
'EfficientNetB6',
'EfficientNetB7',
'InceptionResNetV2',
'InceptionV3',
'MobileNet',
'MobileNetV2',
'NASNetLarge',
'NASNetMobile',
'ResNet101',
'ResNet101V2',
'ResNet152',
'ResNet152V2',
'ResNet50',
'ResNet50V2',
'VGG16',
'VGG19',
'Xception'
```
* https://keras.io/api/applications
* https://github.com/keras-team/keras-applications
* https://github.com/keras-team/keras-applications/tree/master/keras_applications