Coding Links: Unterschied zwischen den Versionen
Aus exmediawiki
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==Deep Learning== | ==Deep Learning== | ||
| − | * | + | * Codes zu Osinga: Deep Learning Cookbook - https://github.com/DOsinga/deep_learning_cookbook |
| − | * | + | |
| − | * | + | * Codes zu Chollet: Deep Learning mit Python und Keras - https://github.com/keras-team/keras/tree/master/examples |
| + | |||
| + | * Codes 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/ | * Ian Goodfellow and Yoshua Bengio and Aaron Courville: Deep Learning (Book) - https://www.deeplearningbook.org/ | ||
| + | |||
| + | * '''[https://noparts.org/own-cloud/public.php?service=files&t=4a66fa0281688c384bf68863fc9027dc Francois Chollet, »Deep Learning with Python«]''' | ||
| + | ** Github Repositrory: https://github.com/fchollet/deep-learning-with-python-notebooks | ||
| + | |||
| + | * '''[https://noparts.org/own-cloud/public.php?service=files&t=b873602cf68471c0e45672cb838d0f98 Tariq Rashid, »Neuronale Netze selbst programmieren«]''' | ||
| + | ** Github Repository: https://github.com/makeyourownneuralnetwork/makeyourownneuralnetwork | ||
===Anwendungen, Datasets etc.=== | ===Anwendungen, Datasets etc.=== | ||
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---- | ---- | ||
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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 | ||
Version vom 29. Juni 2019, 13:57 Uhr
Inhaltsverzeichnis
Deep Learning
- Codes zu Osinga: Deep Learning Cookbook - https://github.com/DOsinga/deep_learning_cookbook
- Codes zu Chollet: Deep Learning mit Python und Keras - https://github.com/keras-team/keras/tree/master/examples
- Codes 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/
- Francois Chollet, »Deep Learning with Python«
- Github Repositrory: https://github.com/fchollet/deep-learning-with-python-notebooks
- Tariq Rashid, »Neuronale Netze selbst programmieren«
- Github Repository: https://github.com/makeyourownneuralnetwork/makeyourownneuralnetwork
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