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== | ==Deep Learning== | ||
* Code zu Osinga: Deep Learning Cookbook - https://github.com/DOsinga/deep_learning_cookbook | * Code zu Osinga: Deep Learning Cookbook - https://github.com/DOsinga/deep_learning_cookbook | ||
* Code zu Chollet: Deep Learning mit Python und Keras - https://github.com/keras-team/keras/tree/master/examples | * Code zu Chollet: Deep Learning mit Python und Keras - https://github.com/keras-team/keras/tree/master/examples | ||
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* Ian Goodfellow and Yoshua Bengio and Aaron Courville: Deep Learning (Book) - https://www.deeplearningbook.org/ | * Ian Goodfellow and Yoshua Bengio and Aaron Courville: Deep Learning (Book) - https://www.deeplearningbook.org/ | ||
===Anwendungen, Datasets etc.=== | |||
* '''deepL''' AI Assistance for Language https://www.deepl.com/translator | |||
* '''Deep Speech 0.2.0''' https://github.com/mozilla/DeepSpeech/releases/tag/v0.2.0 | |||
* https://deepart.io/ | |||
* '''Darknet Yolo''' - schnelle Objekterkennung https://pjreddie.com/darknet/yolo/ | |||
** Code: https://github.com/pjreddie/darknet | |||
*Fork von Darknet Yolo (mit mehr Anwendungen und besser erklärt) https://github.com/AlexeyAB/darknet | |||
* '''Coco Dataset''' http://cocodataset.org/#explore | |||
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==Markdown== | ==Markdown== | ||
* https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet | * https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet | ||
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* https://help.github.com/en/articles/working-with-advanced-formatting | * https://help.github.com/en/articles/working-with-advanced-formatting | ||
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==Python== | ==Python== | ||
* https://pythonbuch.com/ | * https://pythonbuch.com/ | ||
Version vom 29. Juni 2019, 13:55 Uhr
Deep Learning
- Code zu Osinga: Deep Learning Cookbook - https://github.com/DOsinga/deep_learning_cookbook
- Code zu Chollet: Deep Learning mit Python und Keras - https://github.com/keras-team/keras/tree/master/examples
- Code zu Géron: Machine Learning mit Scikit-Learn & TensorFlow - https://github.com/ageron/handson-ml
- Ian Goodfellow and Yoshua Bengio and Aaron Courville: Deep Learning (Book) - https://www.deeplearningbook.org/
Anwendungen, Datasets etc.
- deepL AI Assistance for Language https://www.deepl.com/translator
- Deep Speech 0.2.0 https://github.com/mozilla/DeepSpeech/releases/tag/v0.2.0
- Darknet Yolo - schnelle Objekterkennung https://pjreddie.com/darknet/yolo/
- Fork von Darknet Yolo (mit mehr Anwendungen und besser erklärt) https://github.com/AlexeyAB/darknet
- Coco Dataset http://cocodataset.org/#explore
Markdown
- https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet
- https://www.markdowntutorial.com/
- https://de.serlo.org/hilfe-markdown
- https://help.github.com/en/articles/working-with-advanced-formatting
Python
- https://pythonbuch.com/
- https://wiki.zum.de/wiki/Python
- https://wiki.python.org/moin/PythonForArtificialIntelligence
- Python Kurs in Deutsch (Buch hierfür liegt im exMediaLab): https://www.python-kurs.eu/python3_kurs.php
- Python Wiki: https://wiki.python.org/moin/GermanLanguage
- Learn Python the Hard Way: https://www.souravsengupta.com/cds2015/python/LPTHW.pdf