| | |
| | | #define CONNECTED_LAYER_H |
| | | |
| | | #include "activations.h" |
| | | #include "layer.h" |
| | | #include "network.h" |
| | | |
| | | typedef struct{ |
| | | int inputs; |
| | | int outputs; |
| | | double *weights; |
| | | double *biases; |
| | | typedef layer connected_layer; |
| | | |
| | | double *weight_updates; |
| | | double *bias_updates; |
| | | connected_layer make_connected_layer(int batch, int inputs, int outputs, ACTIVATION activation, int batch_normalize); |
| | | |
| | | double *weight_momentum; |
| | | double *bias_momentum; |
| | | void forward_connected_layer(connected_layer layer, network_state state); |
| | | void backward_connected_layer(connected_layer layer, network_state state); |
| | | void update_connected_layer(connected_layer layer, int batch, float learning_rate, float momentum, float decay); |
| | | void denormalize_connected_layer(layer l); |
| | | void statistics_connected_layer(layer l); |
| | | |
| | | double *output; |
| | | double *delta; |
| | | |
| | | ACTIVATION activation; |
| | | |
| | | } connected_layer; |
| | | |
| | | connected_layer *make_connected_layer(int inputs, int outputs, ACTIVATION activation); |
| | | |
| | | void forward_connected_layer(connected_layer layer, double *input); |
| | | void backward_connected_layer(connected_layer layer, double *input, double *delta); |
| | | void learn_connected_layer(connected_layer layer, double *input); |
| | | void update_connected_layer(connected_layer layer, double step, double momentum, double decay); |
| | | |
| | | #ifdef GPU |
| | | void forward_connected_layer_gpu(connected_layer layer, network_state state); |
| | | void backward_connected_layer_gpu(connected_layer layer, network_state state); |
| | | void update_connected_layer_gpu(connected_layer layer, int batch, float learning_rate, float momentum, float decay); |
| | | void push_connected_layer(connected_layer layer); |
| | | void pull_connected_layer(connected_layer layer); |
| | | #endif |
| | | |
| | | #endif |
| | | |