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How variational auto encoder can theoretically model any distribution
Similar ideas are applicable in case of Normalizing flows, You can find more details in another tutorial. Variational Auto Encoder (VAE) is one of the famous generative models and applied for various unsupervised, semi-supervised tasks [1][2]. There is a lot of interesting ways to look at how it works [3]. But in this article, we … Continue reading How variational auto encoder can theoretically model any distribution
Why neural networks are called Universal Approximators- Graphical proof
Hey Guys, We are reading lot about AI/Deep learning to do some really smart stuff such as playing G0 game, recognizing images and speech. The core part of the Deep learning is the deep neural network (DNN). Before we understand DNN, we need look at the shallow neural network and its property called the universal … Continue reading Why neural networks are called Universal Approximators- Graphical proof
Achuth Rao M V 