Neural Networks · Level 2 of 5
Dense Layer
A layer in which each output uses all input features.
Its affine computation uses a weight matrix and typically a bias vector.
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Dense Layer. A layer in which each output uses all input features. Its affine computation uses a weight matrix and typically a bias vector. For example: Every output unit combines all 20 input measurements.
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