| | |
| | | void push_convolutional_layer(convolutional_layer layer); |
| | | void pull_convolutional_layer(convolutional_layer layer); |
| | | |
| | | void bias_output_gpu(float *output, float *biases, int batch, int n, int size); |
| | | void add_bias_gpu(float *output, float *biases, int batch, int n, int size); |
| | | 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); |
| | | 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); |
| | | 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 update_convolutional_layer(convolutional_layer layer, int batch, float learning_rate, float momentum, float decay); |