In this notebook, we implement a Variational Autoencoder (VAE) for generating new images from a given dataset. VAEs are a type of generative model that learn a low-dimensional latent representation of ...
The encoder network serves a purpose akin to dimensionality reduction methods like Principal Component Analysis (PCA) or Matrix Factorization (MF). It condenses the input data into a compressed or ...
Abstract: Variational autoencoder is a very concise and effective unsupervised learning method, which can achieve excellent performance when applied in the field of recommendation systems. At present, ...
Beijing Zhongke Journal Publising Co. Ltd. Music generation is a key use of AI for arts, and is arguably one of the earliest forms of AI art. However, contemporary generative music models rely ...
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