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Topics / Deep learning

Autoencoders and generative

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  1. Variational Autoencoders Generative Models with Deep Learning9 min

    A Variational Autoencoder combines probabilistic inference with neural networks, creating a powerful generative model. The architecture consists of an...

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    Variational Lossy Autoencoders (VLAEs) are an extension of traditional autoencoders, designed to learn efficient data representations while allowing for...

  3. Vector Quantized Variational Auto-Encoder (VQ-VAE) using Python10 min

    Vector Quantized Variational Auto-Encoder (VQ-VAE) is a powerful neural network architecture for learning discrete representations of data. It combines the...