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on 23-Sep-2025 (Tue)

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#deep-learning #keras #lstm #python #sequence

Limitations of using MLP for sequence predicting

This can work well on some problems, but it has 5 critical limitations.

Stateless .

Unaware of Temporal Structure.

Messy Scaling .

Fixed Sized Inputs

Fixed Sized Outputs .

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Limitations of using MLP for sequence predicting This can work well on some problems, but it has 5 critical limitations. Stateless . MLPs learn a fixed function approximation. Any outputs that are conditional on the context of the input sequence must be generalized and frozen into the network weights. Una

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