simple implementation of deep learning algorithms using keras
Keras==2.1.6
matplotlib==2.0.2
numpy==1.14.5
scikit-learn==0.19.1
scipy==1.1.0
generative adversarial network
deep convolutional generative adversarial network
variational autoencoder
anomaly detection with dcgan
[reference]
Thomas Schlegl, et al. 2017, Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
https://arxiv.org/abs/1703.05921
dropout as a bayesian approximation
[reference]
Yarin Gal, et al. 2016, Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning