From 2c510530b1b7463df20d44b656d1f884eb674ad6 Mon Sep 17 00:00:00 2001 From: Francois Chollet Date: Wed, 10 Aug 2016 16:44:35 -0700 Subject: [PATCH] Update FAQ --- docs/templates/getting-started/faq.md | 11 +++++++---- 1 file changed, 7 insertions(+), 4 deletions(-) diff --git a/docs/templates/getting-started/faq.md b/docs/templates/getting-started/faq.md index 1fa6f1b22..d7d118dfb 100644 --- a/docs/templates/getting-started/faq.md +++ b/docs/templates/getting-started/faq.md @@ -331,13 +331,16 @@ print(len(model.layers)) # "1" Code and pre-trained weights are available for the following image classification models: -- [VGG-16](https://gist.github.com/baraldilorenzo/07d7802847aaad0a35d3) -- [VGG-19](https://gist.github.com/baraldilorenzo/8d096f48a1be4a2d660d) -- [AlexNet](https://github.com/heuritech/convnets-keras) +- VGG16 +- VGG19 +- ResNet50 +- Inception v3 + +Find the code and weights in [this repository](https://github.com/fchollet/deep-learning-models). 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). -The VGG-16 model is also the basis for several Keras example scripts: +The VGG16 model is also the basis for several Keras example scripts: - [Style transfer](https://github.com/fchollet/keras/blob/master/examples/neural_style_transfer.py) - [Feature visualization](https://github.com/fchollet/keras/blob/master/examples/conv_filter_visualization.py)