Deep Representation Learning
Representation learning refers to the process of inferring parameters of a model which can extract useful information from available data [1]. Useful information is information...
$$\begin{equation*}\text{ELBO}_{\pmb{\lambda}, \pmb{\theta}}(\mathbf{x}) = \log p_{\pmb{\theta}}(\mathbf{x}) - D_{\text{KL}}(q_{\pmb{\lambda}}(\mathbf{z} \mid \mathbf{x}), p_{\pmb{\theta}}(\mathbf{z} \mid \mathbf{x}))\end{equation*}$$
