Hier werden die Unterschiede zwischen zwei Versionen gezeigt.
Beide Seiten der vorigen Revision Vorhergehende Überarbeitung Nächste Überarbeitung | Vorhergehende Überarbeitung | ||
ss19:quellenangabe [2019/09/03 15:03] noah-savgu-2000 |
ss19:quellenangabe [2019/09/07 00:30] (aktuell) l.sauder [Quellenangabe] |
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- | Zurück zum [[schrifterkennung]] | + | Zurück zur [[Schrifterkennung]]sprogramm Hauptseite |
- | ===Quellenangabe=== | ||
+ | |||
+ | ======Quellenangabe====== | ||
+ | |||
+ | ===Keras:=== | ||
* [[https://keras.io|{{https://s3.amazonaws.com/keras.io/img/keras-logo-2018-large-1200.png?200}}]]\\ | * [[https://keras.io|{{https://s3.amazonaws.com/keras.io/img/keras-logo-2018-large-1200.png?200}}]]\\ | ||
- | * [[http://neuralnetworksanddeeplearning.com/chap1.html]]\\ | ||
- | |||
* [[https://keras.io/scikit-learn-api/]]\\ | * [[https://keras.io/scikit-learn-api/]]\\ | ||
* [[https://www.datacamp.com/community/tutorials/autoencoder-keras-tutorial]]\\ | * [[https://www.datacamp.com/community/tutorials/autoencoder-keras-tutorial]]\\ | ||
+ | |||
+ | ===Image Classification:=== | ||
+ | |||
+ | * [[https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm|K-Nearest-Neighbors Algorithmus]] | ||
+ | |||
+ | * https://www.python-course.eu/confusion_matrix.php | ||
* Géron, Aurélien, //Hands-On Machine Learning with Scikit-Learn & TensorFlow | Concepts, Tools, and Techniques To Build Intelligent Systems//, O'Reilly Media, Inc., 2017. Print. | * Géron, Aurélien, //Hands-On Machine Learning with Scikit-Learn & TensorFlow | Concepts, Tools, and Techniques To Build Intelligent Systems//, O'Reilly Media, Inc., 2017. Print. | ||
- | * https://www.pytorials.com/mnist-handwritten-digits-classification-using-keras/ | + | ===Image Classification mit neuronalen Netzwerken:=== |
+ | |||
+ | * [[http://neuralnetworksanddeeplearning.com/chap1.html]]\\ | ||
+ | * [[https://missinglink.ai/guides/keras/using-keras-flatten-operation-cnn-models-code-examples/]]\\ | ||
+ | |||
+ | * [[https://becominghuman.ai/building-an-image-classifier-using-deep-learning-in-python-totally-from-a-beginners-perspective-be8dbaf22dd8]]\\ | ||
+ | |||
+ | * [[https://www.pytorials.com/mnist-handwritten-digits-classification-using-keras/]]\\ | ||
+ | |||
+ | * [[https://medium.com/@mjbhobe/mnist-digits-classification-with-keras-ed6c2374bd0e]]\\ | ||
+ | |||
+ | * [[https://mohitatgithub.github.io/2018-03-28-MNIST-Image-Classification-with-CNN-&-Keras/]]\\ | ||
+ | |||
+ | ===Datasets:=== | ||
+ | |||
+ | * [[https://www.nist.gov/node/1298471/emnist-dataset]]\\ | ||
+ | |||
+ | * [[https://www.kaggle.com/xainano/handwrittenmathsymbols/]]\\ | ||
+ | |||
+ | ===Segmentierung:=== | ||
+ | |||
+ | * [[https://docs.opencv.org/3.4.0/d7/d4d/tutorial_py_thresholding.html]]\\ | ||
+ | |||
+ | * [[https://docs.opencv.org/2.4/modules/core/doc/drawing_functions.html]]\\ | ||
+ | |||
+ | * [[https://scikit-image.org/docs/dev/auto_examples/transform/plot_rescale.html]]\\ | ||
+ | |||
+ | * [[https://en.wikipedia.org/wiki/Handwriting_recognition]]\\ | ||
+ | |||
+ | * [[https://opensourc.es/blog/he2latex]]\\ | ||
+ | | ||
+ | * [[https://github.com/dishank-b/Character_Segmentation]]\\ | ||
+ | |||
+ | * [[https://docs.opencv.org/3.1.0/dd/d49/tutorial_py_contour_features.html]]\\ | ||
+ | |||
+ | |||
+ | ===Schrift zu LaTeX(von uns nicht fertig gestellt):=== | ||
+ | |||
+ | * [[https://opensourc.es/blog/he2latex]]\\ | ||
+ | |||
+ | * [[http://detexify.kirelabs.org/classify.html]]\\ | ||
+ |