Update FAQ
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@ -331,13 +331,16 @@ print(len(model.layers)) # "1"
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Code and pre-trained weights are available for the following image classification models:
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Code and pre-trained weights are available for the following image classification models:
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- [VGG-16](https://gist.github.com/baraldilorenzo/07d7802847aaad0a35d3)
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- VGG16
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- [VGG-19](https://gist.github.com/baraldilorenzo/8d096f48a1be4a2d660d)
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- VGG19
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- [AlexNet](https://github.com/heuritech/convnets-keras)
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- ResNet50
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- Inception v3
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Find the code and weights in [this repository](https://github.com/fchollet/deep-learning-models).
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For an example of how to use such a pre-trained model for feature extraction or for fine-tuning, see [this blog post](http://blog.keras.io/building-powerful-image-classification-models-using-very-little-data.html).
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For an example of how to use such a pre-trained model for feature extraction or for fine-tuning, see [this blog post](http://blog.keras.io/building-powerful-image-classification-models-using-very-little-data.html).
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The VGG-16 model is also the basis for several Keras example scripts:
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The VGG16 model is also the basis for several Keras example scripts:
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- [Style transfer](https://github.com/fchollet/keras/blob/master/examples/neural_style_transfer.py)
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- [Style transfer](https://github.com/fchollet/keras/blob/master/examples/neural_style_transfer.py)
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- [Feature visualization](https://github.com/fchollet/keras/blob/master/examples/conv_filter_visualization.py)
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- [Feature visualization](https://github.com/fchollet/keras/blob/master/examples/conv_filter_visualization.py)
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