Fedora Rawhide for s390x : / usr /include /fdeep /layers

• activation_layer.hpp
• add_layer.hpp
• additive_attention_layer.hpp
• attention_layer.hpp
• average_layer.hpp
• average_pooling_3d_layer.hpp
• batch_normalization_layer.hpp
• bidirectional_layer.hpp
• category_encoding_layer.hpp
• centercrop_layer.hpp
• concatenate_layer.hpp
• conv_2d_layer.hpp
• cropping_3d_layer.hpp
• dense_layer.hpp
• depthwise_conv_2d_layer.hpp
• dot_layer.hpp
• elu_layer.hpp
• embedding_layer.hpp
• exponential_layer.hpp
• flatten_layer.hpp
• gelu_layer.hpp
• global_average_pooling_3d_layer.hpp
• global_max_pooling_3d_layer.hpp
• global_pooling_layer.hpp
• gru_layer.hpp
• hard_sigmoid_layer.hpp
• input_layer.hpp
• layer.hpp
• layer_normalization_layer.hpp
• leaky_relu_layer.hpp
• linear_layer.hpp
• lstm_layer.hpp
• max_pooling_3d_layer.hpp
• maximum_layer.hpp
• minimum_layer.hpp
• model_layer.hpp
• multi_head_attention_layer.hpp
• multiply_layer.hpp
• normalization_layer.hpp
• permute_layer.hpp
• pooling_3d_layer.hpp
• prelu_layer.hpp
• relu_layer.hpp
• repeat_vector_layer.hpp
• rescaling_layer.hpp
• reshape_layer.hpp
• resizing_layer.hpp
• selu_layer.hpp
• separable_conv_2d_layer.hpp
• sigmoid_layer.hpp
• softmax_layer.hpp
• softplus_layer.hpp
• softsign_layer.hpp
• subtract_layer.hpp
• swish_layer.hpp
• tanh_layer.hpp
• time_distributed_layer.hpp
• unit_normalization_layer.hpp
• upsampling_1d_layer.hpp
• upsampling_2d_layer.hpp
• zero_padding_3d_layer.hpp

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Fabrice Bellet, Sat Feb 22 05:33:04 2025