Enum LayerWeight

pub enum LayerWeight<'a> {
    Dense(DenseLayerWeight<'a>),
    SimpleRNN(SimpleRNNLayerWeight<'a>),
    LSTM(LSTMLayerWeight<'a>),
    Conv2D(Conv2DLayerWeight<'a>),
    Empty,
}

Container for different types of neural network layer weights

This enum serves as a polymorphic container for the weights of various neural network layer types. Each variant corresponds to a specific layer type and contains the appropriate weight structure for that layer.

Variants

• Dense - Contains weights for dense (fully connected) layers
• SimpleRNN - Contains weights for simple recurrent neural network layers
• LSTM - Contains weights for long short-term memory layers
• Conv2D - Contains weights for 2D convolutional layers
• Empty - Represents a layer with no trainable parameters

Variants

Dense(DenseLayerWeight<'a>)

SimpleRNN(SimpleRNNLayerWeight<'a>)

LSTM(LSTMLayerWeight<'a>)

Conv2D(Conv2DLayerWeight<'a>)

Empty