Module KaunSource

Sourcemodule Activation : sig ... end

Activation functions for neural networks.

Sourcemodule Attention : sig ... end

Multi-head self-attention.

Sourcemodule Checkpoint : sig ... end

Model checkpointing.

Sourcemodule Context : sig ... end

Per-call auxiliary data for layers.

Sourcemodule Data : sig ... end

Lazy, composable data pipelines for training.

Sourcemodule Fn : sig ... end

Functional neural network operations.

Sourcemodule Grad : sig ... end

Automatic differentiation over parameter trees.

Sourcemodule Init : sig ... end

Weight initialization strategies.

Sourcemodule Layer : sig ... end

Composable neural network layers.

Sourcemodule Loss : sig ... end

Loss functions.

Sourcemodule Metric : sig ... end

Training metrics.

Sourcemodule Optim : sig ... end

Optimizers and learning-rate schedules.

Sourcemodule Ptree : sig ... end

Heterogeneous parameter trees.

Sourcemodule Train : sig ... end

High-level training loop.