A user new to machine learning is seeking advice on improving their Variational Autoencoder (VAE) model. They are attempting to create an embedding space for an image dataset with varying spatial dimensions, which they cannot easily standardize. Their current method uses adaptive pooling to generate a fixed-dimensional latent representation, but the results are poor and the learned embeddings lack structure. AI
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