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You are here		tiao.io Density Ratio Estimation for KL Divergence Minimization between Implicit Distributions \| Louis Tiao
\|	\|	jxmo.io Introduction to variational autoencoders - Jack Morris	7.1 parsecs away Travel
\|	\|	A primer on variational autoencoders (VAEs) culminating in a PyTorch implementation of a VAE with discrete latents.	7.1 parsecs away Travel
\|	\|	blog.evjang.com Eric Jang: Tips for Training Likelihood Models	7.2 parsecs away Travel
\|	\|	This is a tutorial on common practices in training generative models that optimize likelihood directly, such as autoregressive models and ...	7.2 parsecs away Travel
\|	\|	blog.fastforwardlabs.com Under the Hood of the Variational Autoencoder (in Prose and Code)	7.9 parsecs away Travel
\|	\|	The Variational Autoencoder (VAE) neatly synthesizes unsupervised deep learning and variational Bayesian methods into one sleek package. In Part I of this series, we introduced the theory and intuition behind the VAE, an exciting development in machine learning for combined generative modeling and inference-"machines that imagine and reason." To recap: VAEs put a probabilistic spin on the basic autoencoder paradigm-treating their inputs, hidden representations, and reconstructed outputs as probabilistic ...	7.9 parsecs away Travel
\|	\|	www.analyticsvidhya.com A Comprehensive Learning Path For Computer Vision	69.1 parsecs away Travel
\|		Learn computer vision with the collection of the top resources for computer vision. This learning path is helpful to master computer vision.	69.1 parsecs away Travel