fishy.models.deep.dense

Dense Neural Network model for spectral classification.

Classes

class fishy.models.deep.dense.Dense(input_dim: int, output_dim: int, hidden_dim: int = 128, num_layers: int = 4, dropout: float = 0.2, **kwargs)

Bases: Module

Standard fully connected (dense) neural network.

input_dim

Number of input features.

Type:

int

output_dim

Number of output classes.

Type:

int

hidden_dim

Hidden layer dimension.

Type:

int

dropout

Dropout probability.

Type:

float

__init__(input_dim: int, output_dim: int, hidden_dim: int = 128, num_layers: int = 4, dropout: float = 0.2, **kwargs) → None

Initializes the Dense model.

Parameters:

• input_dim (int) – Number of input features.

• output_dim (int) – Number of output classes.

• hidden_dim (int, optional) – Hidden layer dimension. Defaults to 128.

• num_layers (int, optional) – Number of hidden layers. Defaults to 4.

• dropout (float, optional) – Dropout rate. Defaults to 0.2.

forward(x: Tensor) → Tensor

Define the computation performed at every call.

Should be overridden by all subclasses.

Note

Although the recipe for forward pass needs to be defined within this function, one should call the Module instance afterwards instead of this since the former takes care of running the registered hooks while the latter silently ignores them.

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