ZeNu Layer

ZeNu Layer is a collection of neural network layers implemented in Rust. It provides building blocks for constructing neural networks and integrates with the ZeNu deep learning library.

Features

• Various layer types, including fully connected (linear) layers
• Layer parameter initialization
• Forward pass computation
• Integration with ZeNu Autograd for automatic differentiation

Getting Started

To use ZeNu Layer in your Rust project, add the following to your Cargo.toml file:

[dependencies]
zenu-layer = "0.1.0"

Here's a simple example of using a linear layer from ZeNu Layer:

use zenu_autograd::creator::from_vec::from_vec;
use zenu_layer::layers::linear::Linear;
use zenu_layer::Layer;

fn main() {
    // Create a new linear layer with input dimension 3 and output dimension 2
    let mut linear_layer = Linear::new(3, 2);

    // Initialize the layer parameters with a random seed
    linear_layer.init_parameters(Some(42));

    // Create input data as a Variable
    let input = from_vec(vec![1., 2., 3.], [1, 3]);

    // Perform a forward pass through the layer
    let output = linear_layer.call(input);

    // Access the layer parameters
    let parameters = linear_layer.parameters();
}

For more details and examples, please refer to the documentation.

License

ZeNu Layer is licensed under the MIT License.