| | |
| | | #define CONVOLUTIONAL_LAYER_H |
| | | |
| | | #include "cuda.h" |
| | | #include "params.h" |
| | | #include "image.h" |
| | | #include "activations.h" |
| | | #include "layer.h" |
| | |
| | | void backward_bias_gpu(float *bias_updates, float *delta, int batch, int n, int size); |
| | | #endif |
| | | |
| | | convolutional_layer make_convolutional_layer(int batch, int h, int w, int c, int n, int size, int stride, int pad, ACTIVATION activation, int batch_normalization); |
| | | convolutional_layer make_convolutional_layer(int batch, int h, int w, int c, int n, int size, int stride, int pad, ACTIVATION activation, int batch_normalization, int binary); |
| | | void denormalize_convolutional_layer(convolutional_layer l); |
| | | void resize_convolutional_layer(convolutional_layer *layer, int w, int h); |
| | | void forward_convolutional_layer(const convolutional_layer layer, network_state state); |
| | |
| | | |
| | | void backward_convolutional_layer(convolutional_layer layer, network_state state); |
| | | |
| | | void bias_output(float *output, float *biases, int batch, int n, int size); |
| | | void add_bias(float *output, float *biases, int batch, int n, int size); |
| | | void backward_bias(float *bias_updates, float *delta, int batch, int n, int size); |
| | | |
| | | image get_convolutional_image(convolutional_layer layer); |