MA_Obermayer

Visualization scripts for Master thesis (Masterarbeit/Trabajo fin de Master)

Visualization for simple machine learning concepts like gradient descent on a single neuron and a comparision between MSE and BCE as loss functions
The Kullback-Leibler distance between a model distribution and real data distribution with its lowering variance training effect for GANs.
Visualization script for the smooth discriminator mentioned in "Martin Arjovsky and León Bottou. Towards Principled Methods for Training Generative Adversarial Networks. 2017."

Name		Name	Last commit message	Last commit date
Latest commit History 20 Commits
README.md		README.md
comparision_MSE_BCE.ipynb		comparision_MSE_BCE.ipynb
error_surface_intro.ipynb		error_surface_intro.ipynb
kld_real_model_distribution.ipynb		kld_real_model_distribution.ipynb
sigmoid_activation_function.ipynb		sigmoid_activation_function.ipynb
smooth_function_discriminator.ipynb		smooth_function_discriminator.ipynb
visualization_instability_gan_mmd.ipynb		visualization_instability_gan_mmd.ipynb

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