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@@ -67,7 +67,7 @@ If you have a high-quality tutorial or project to add, please open a PR.
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- [t-SNE of image CNN fc7 activations](https://github.com/ml4a/ml4a-guides/blob/master/notebooks/tsne-images.ipynb)
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- [VGG16 Deconvolution network](https://github.com/tdeboissiere/DeepLearningImplementations/tree/master/DeconvNet)
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- Wide Residual Networks (with pre-trained weights): [1](https://github.com/asmith26/wide_resnets_keras) - [2](https://github.com/titu1994/Wide-Residual-Networks)
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-- [Ultrasound nerve segmentation](https://github.com/jocicmarko/ultrasound-nerve-segmentation)
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+- Ultrasound nerve segmentation: [1](https://github.com/jocicmarko/ultrasound-nerve-segmentation) - [2](https://github.com/raghakot/ultrasound-nerve-segmentation)
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- [DeepMask object segmentation](https://github.com/abbypa/NNProject_DeepMask)
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- Densely Connected Convolutional Networks: [1](https://github.com/tdeboissiere/DeepLearningImplementations/tree/master/DenseNet) - [2](https://github.com/titu1994/DenseNet)
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- [Snapshot Ensembles: Train 1, Get M for Free](https://github.com/titu1994/Snapshot-Ensembles)
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@@ -107,6 +107,7 @@ If you have a high-quality tutorial or project to add, please open a PR.
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- [Keras Language Modeling](https://github.com/codekansas/keras-language-modeling): Language modeling tools for Keras
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- [Recurrent Shop](https://github.com/datalogai/recurrentshop): Framework for building complex recurrent neural networks with Keras
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- [Keras.js](https://github.com/transcranial/keras-js): Run trained Keras models in the browser, with GPU support
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+- [keras-vis](https://github.com/raghakot/keras-vis): Neural network visualization toolkit for keras.
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## Projects built with Keras
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Raghavendra Kotikalapudi