#sparse-autoencoders
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· Sparse Autoencoders
Sparse autoencoders are neural networks that learn compressed representations of data while enforcing sparsity - a constraint that ensures most neurons remain inactive for any given input. This approach leads to more robust and interpretable features, often capturing meaningful patterns in the data.