695 B
695 B
Dense Model
A multi-layer dense neural network with ReLU activation after each dense layer, except for the final layer.
Args:
dim_list (List[int]): List of feature dimensions. Should be of length num_layers + 1.
bias_list (List[bool]): List indicating whether each layer should have a bias.
num_layers (int): Number of layers in the model.
Example: For a three-layer network: - Layer 1: input -> output1 - Layer 2: output1 -> output2 - Layer 3: output2 -> output3
`dim_list = [input_dim, output1_dim, output2_dim, output3_dim]`
Category: Miscellaneous
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