Uses of Package
io.github.kirstenali.deepj.nn

Packages that use io.github.kirstenali.deepj.nn

Package	Description
io.github.kirstenali.deepj.nn	Neural networks composed from DeepJ tensors, layers, autograd and backend operations.

Classes in io.github.kirstenali.deepj.nn used by io.github.kirstenali.deepj.nn

Class	Description
Activation	Adapts DeepJ activations to the existing Layer contract.
Module	Additive layer base with recursive training mode and identity-deduplicated parameters.
Pool1D	Max/average pooling of [batch, channels, length] inputs.
Pool2D	Floor-mode max/average pooling of channel-first images.
Pool2D.Reduction
Recurrent	Batch-first recurrent sequence execution, with optional lengths and caller-owned initial/final state.
RecurrentCell	Shared input/state validation and DeepJ linear projections for recurrent cells.
RecurrentResult	Batch-first sequence output and the final state of a recurrent layer.
RecurrentState	Explicit caller-owned state.
TransformerEncoderConfig	Pre-normalized encoder dimensions.
Window2D	Floor-mode spatial window with symmetric zero padding and optional dilation.