Update README.md
Signed-off-by: David Rotermund <54365609+davrot@users.noreply.github.com>
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@ -45,29 +45,24 @@ As reading material please look into the following parts of [1] taken from [http
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Please don't lose too much time on their examples. Your goal is NOT to understand everything in those chapters. Your goal is to understand what is happening here:
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* Prepare example data: \py{https://www.neurotec.uni-bremen.de/drupal/node/29}
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* Data augmentation: \py{https://www.neurotec.uni-bremen.de/drupal/node/30}
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* Interfacing your data: \py{https://www.neurotec.uni-bremen.de/drupal/node/32}
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* Everything is a layer: \py{https://www.neurotec.uni-bremen.de/drupal/node/52}
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* Creating networks: \py{https://www.neurotec.uni-bremen.de/drupal/node/53}
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* Train the network: \py{https://www.neurotec.uni-bremen.de/drupal/node/54}
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* [Converting the original MNIST files into numpy](https://github.com/davrot/pytutorial/blob/main/pytorch/MNIST/README.md)
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* [Interfacing Data](https://davrot.github.io/pytutorial/pytorch/interfacing_data/)
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* [Data augmentation](https://github.com/davrot/pytutorial/blob/main/pytorch/augmentation/README.md)
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* [Everything is a layer](https://github.com/davrot/pytutorial/blob/main/pytorch/layers/README.md)
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* [Creating networks](https://github.com/davrot/pytutorial/blob/main/pytorch/networks/README.md)
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* [Train the network](https://github.com/davrot/pytutorial/blob/main/pytorch/train/README.md)
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BTW, understanding means:
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\vspace*{-1.3\topsep}
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\begin{enumerate}[a)]
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\setlength\itemsep{-0.5em}
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\item Reproduce the MNIST network on your own.
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\item If somebody ask you what the stuff means, you should be able to explain it to them.
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\end{enumerate}
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a. Reproduce the MNIST network on your own.
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b. If somebody ask you what the stuff means, you should be able to explain it to them.
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\textbf{Hint:} If you don't know what a PyTorch command is doing then there is an extensive documentation under: \py{https://pytorch.org}.
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Just put the command in the search box...
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*Hint:* If you don't know what a PyTorch command is doing then there is an extensive documentation under: [https://pytorch.org](https://pytorch.org). Just put the command in the search box...
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\textbf{2. Now you are on your own...}
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## 2. Now you are on your own...
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We will give you a dataset and then you have to deal with it on your own...
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\phraselast
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Literature
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\literature{[1] A. Zhang, Z.C. Lipton, M. Li and A.J. Smola (2021), Dive into Deep Learning, \href{https://d2l.ai/d2l-en-pytorch.pdf}{https://d2l.ai/d2l-en-pytorch.pdf}}
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[1] A. Zhang, Z.C. Lipton, M. Li and A.J. Smola (2021), **Dive into Deep Learning**, [https://d2l.ai/d2l-en-pytorch.pdf](https://d2l.ai/d2l-en-pytorch.pdf)
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