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README.md

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@@ -20,7 +20,7 @@ Quickstart and use cases
2020
* [4. Quantifying CNN spatial priors](https://github.com/greydanus/mnist1d/blob/master/notebooks/mnist1d-classification.ipynb) ([Colab](https://githubtocolab.com/greydanus/mnist1d/blob/master/notebooks/mnist1d-classification.ipynb))
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* [5. Self-supervised learning](https://github.com/greydanus/mnist1d/blob/master/notebooks/self-supervised-learning.ipynb) ([Colab](https://githubtocolab.com/greydanus/mnist1d/blob/master/notebooks/self-supervised-learning.ipynb))
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* [6. Finding lottery tickets](https://github.com/greydanus/mnist1d/blob/master/notebooks/lottery-tickets.ipynb) ([Colab](https://githubtocolab.com/greydanus/mnist1d/blob/master/notebooks/lottery-tickets.ipynb))
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* [7. Observing deep double descent](https://github.com/greydanus/mnist1d/blob/master/notebooks/deep-double_descent.ipynb) ([Colab](https://githubtocolab.com/greydanus/mnist1d/blob/master/notebooks/deep-double-descent.ipynb))
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* [7. Observing deep double descent](https://github.com/greydanus/mnist1d/blob/master/notebooks/deep-double-descent.ipynb) ([Colab](https://githubtocolab.com/greydanus/mnist1d/blob/master/notebooks/deep-double-descent.ipynb))
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* [8. Metalearning a learning rate](https://github.com/greydanus/mnist1d/blob/master/notebooks/metalearn-learn-rate.ipynb) ([Colab](https://githubtocolab.com/greydanus/mnist1d/blob/master/notebooks/metalearn-learn-rate.ipynb))
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* [9. Metalearning an activation function](https://github.com/greydanus/mnist1d/blob/master/notebooks/metalearn-activation-function.ipynb) ([Colab](https://githubtocolab.com/greydanus/mnist1d/blob/master/notebooks/metalearn-activation-function.ipynb))
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* [10. Benchmarking pooling methods](https://github.com/greydanus/mnist1d/blob/master/notebooks/benchmark-pooling.ipynb) ([Colab](https://githubtocolab.com/greydanus/mnist1d/blob/master/notebooks/benchmark-pooling.ipynb))

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