Package io.github.kirstenali.deepj.layers

Interface Layer

All Superinterfaces:
Trainable
All Known Subinterfaces:
NormLayer, Projection
All Known Implementing Classes:
Activation, Autoencoder, BatchNorm, BiasFreeLinear, Conv1D, Conv2D, DeepJNovaTransformerBlock, DeepJOrbitTransformerBlock, DeepJOriginTransformerBlock, DeepJPrismTransformerBlock, Dropout, EncoderAttention, Flatten, FNN, GlobalAveragePool, GroupedQueryAttention, GRU, GRUCell, LayerNorm1D, Linear, LoopedTransformer, LSTM, LSTMCell, Module, MultiHeadLatentAttention, MultiHeadSelfAttention, Pool1D, Pool2D, Recurrent, RecurrentCell, Reshape, RMSNorm1D, RNN, RNNCell, RoPEMultiHeadSelfAttention, Sequential, SwiGLULayer, TiedEmbeddingProjection, TransformerEncoder, TransformerEncoderLayer, TransformerStack
public interface Layer extends Trainable

  • Method Details