variational autoencoders

Comparing the different types of AI models

Generative models are a crucial aspect of artificial intelligence and machine learning. They are designed to learn patterns in data and generate new data samples with similar characteristics. In this article, we will explore the most popular generative models, including Variational Autoencoders (VAEs), Generative Adversarial …

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Understanding Variational Autoencoders

Variational autoencoders are a type of unsupervised learning model that combines elements of deep learning and Bayesian inference. They consist of two main components: an encoder and a decoder, which work together to learn the underlying structure of the input data. Encoder and Decoder The …

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