Book: Learning Deep Representations of Data Distributions

Source: Learning Deep Representations of Data Distributions

This book reveals and studies a common and fundamental problem behind almost all modern practices of (artificial) intelligence. That is, how to effectively and efficiently learn a low-dimensional distribution of data in a high-dimensional space and then transform the distribution to a compact and structured representation? For any intelligent system, natural or man-made, such a representation can be generally regarded as a memory or knowledge learned from data sensed from the external world.