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@@ -45,7 +45,7 @@ If you have a high-quality tutorial or project to add, please open a PR.
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### Working with images
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-- [Simple CNN on MNST](https://github.com/fchollet/keras/blob/master/examples/mnist_cnn.py)
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+- [Simple CNN on MNIST](https://github.com/fchollet/keras/blob/master/examples/mnist_cnn.py)
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- [Simple CNN on CIFAR10 with data augmentation](https://github.com/fchollet/keras/blob/master/examples/cifar10_cnn.py)
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- [Inception v3](https://github.com/fchollet/keras/blob/master/examples/inception_v3.py)
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- [VGG 16 (with pre-trained weights)](https://gist.github.com/baraldilorenzo/07d7802847aaad0a35d3)
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@@ -62,6 +62,7 @@ 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/Kaggle/tree/master/StateFarm/DeconvNet)
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- [Wide Residual Networks (with pre-trained weights)](https://github.com/asmith26/wide_resnets_keras)
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+- [Ultrasound nerve segmentation](https://github.com/jocicmarko/ultrasound-nerve-segmentation)
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### Creative visual applications
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