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======Quellenangabe======

===Keras:===

  * [[https://keras.io|{{https://s3.amazonaws.com/keras.io/img/keras-logo-2018-large-1200.png?200}}]]\\

  * [[https://keras.io/scikit-learn-api/]]\\
 
  * [[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.

===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]]\\