07

Dense Layer

Feature Compression

Input
420
Output
64
Param
26.9K
Architecture
Input VectorBiLSTM Out
Neurons64 Units
ActivationReLU
Compression6.5x
Logic
h = ReLU(W⋅x + b)
dim(h) = 64

Compresses high-dimensional temporal features into a dense representation for final regression.

Controls
Connection Opacity0.3
Flow Speed1.0x