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Fixed Tutorial Links #325

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Fixed Tutorial Links #325

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16 changes: 8 additions & 8 deletions README.md
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Expand Up @@ -180,14 +180,14 @@ plt.imshow(a[0], cmap="seismic", clim=(-1, 1))

In the directory [examples](https://github.com/albermax/innvestigate/blob/master/examples/) one can find different examples as Python scripts and as Jupyter notebooks:

* **[Introduction to iNNvestigate](https://github.com/albermax/innvestigate/blob/master/examples/notebooks/introduction.ipynb):** shows how to use **iNNvestigate**.
* **[Comparing methods on MNIST](https://github.com/albermax/innvestigate/blob/master/examples/notebooks/mnist_compare_methods.ipynb):** shows how to train and compare analyzers on MNIST.
* **[Comparing output neurons on MNIST](https://github.com/albermax/innvestigate/blob/master/examples/notebooks/mnist_neuron_selection.ipynb):** shows how to analyze the prediction of different classes on MNIST.
* **[Comparing methods on ImageNet](https://github.com/albermax/innvestigate/blob/master/examples/notebooks/imagenet_compare_methods.ipynb):** shows how to compare analyzers on ImageNet.
* **[Comparing networks on ImageNet](https://github.com/albermax/innvestigate/blob/master/examples/notebooks/imagenet_compare_networks.ipynb):** shows how to compare analyzes for different networks on ImageNet.
* **[Sentiment Analysis](https://github.com/albermax/innvestigate/blob/master/examples/notebooks/sentiment_analysis.ipynb)**.
* **[Development with iNNvestigate](https://github.com/albermax/innvestigate/blob/master/examples/notebooks/introduction_development.ipynb):** shows how to develop with **iNNvestigate**.
* **[Perturbation Analysis](https://github.com/albermax/innvestigate/blob/master/examples/notebooks/mnist_perturbation.ipynb)**.
* **[Introduction to iNNvestigate](https://github.com/albermax/innvestigate/blob/master/examples/introduction.ipynb):** shows how to use **iNNvestigate**.
* **[Comparing methods on MNIST](https://github.com/albermax/innvestigate/blob/master/examples/mnist_compare_methods.ipynb):** shows how to train and compare analyzers on MNIST.
* **[Comparing output neurons on MNIST](https://github.com/albermax/innvestigate/blob/master/examples/mnist_neuron_selection.ipynb):** shows how to analyze the prediction of different classes on MNIST.
* **[Comparing methods on ImageNet](https://github.com/albermax/innvestigate/blob/master/examples/imagenet_compare_methods.ipynb):** shows how to compare analyzers on ImageNet.
* **[Comparing networks on ImageNet](https://github.com/albermax/innvestigate/blob/master/examples/imagenet_compare_networks.ipynb):** shows how to compare analyzes for different networks on ImageNet.
* **[Sentiment Analysis](https://github.com/albermax/innvestigate/blob/master/examples/sentiment_analysis.ipynb)**.
* **[Development with iNNvestigate](https://github.com/albermax/innvestigate/blob/master/examples/introduction_development.ipynb):** shows how to develop with **iNNvestigate**.
* **[Perturbation Analysis](https://github.com/albermax/innvestigate/blob/master/examples/mnist_perturbation.ipynb)**.
---

**To use the ImageNet examples please download the example images first ([script](https://github.com/albermax/innvestigate/blob/master/examples/images/wget_imagenet_2011_samples.sh)).**
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