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CAE.ipynb

Convolutional Autoencoder, Search for similar images. main idea from: https://www.cs.toronto.edu/~hinton/science.pdf

experiment3.ipynb

Expirement with normal noise.

  • input: image
  • output: two vectors, first is class, second is noise. Each class has its own normal distribution with its mean and sigma. The experiment showed that in this way a very good separation of classes can be achieved. In the figure full_image_xception_noise_MAE.jpg you can see the cluster for each class from the test sample.

FCN.ipynb

Fully Convolutional Network (FCN), main idea: https://arxiv.org/pdf/1605.06211.pdf

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