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Version vom 29. Juni 2019, 14:03 Uhr
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