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Why do we need sparsity for auto-encoders?

The autoAuto-encoder isencoders are used for dimensionaldimensionality reduction, and as a tool for unsupervised feature learning. Further, auto-encoder hasencoders have been used for building and training multi-layer neural networks.

When we talk about auto-encoders, we introducedintroduce a sparsity and I whatwant to know, what is the purpose of introducing an sparsity term for auto-encoders.

Thnaks?

Why we need sparsity for auto-encoders?

The auto-encoder is used for dimensional reduction, and as a tool for unsupervised feature learning. Further, auto-encoder has been used for building and training multi-layer neural networks.

When we talk about auto-encoders, we introduced a sparsity and I what to know what is the purpose of introducing an sparsity term for auto-encoders.

Thnaks

Why do we need sparsity for auto-encoders?

Auto-encoders are used for dimensionality reduction, and as a tool for unsupervised feature learning. Further, auto-encoders have been used for building and training multi-layer neural networks.

When we talk about auto-encoders, we introduce a sparsity and I want to know, what is the purpose of introducing an sparsity term for auto-encoders?

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Why we need sparsity for auto-encoders?

The auto-encoder is used for dimensional reduction, and as a tool for unsupervised feature learning. Further, auto-encoder has been used for building and training multi-layer neural networks.

When we talk about auto-encoders, we introduced a sparsity and I what to know what is the purpose of introducing an sparsity term for auto-encoders.

Thnaks