/**
* @brief Copies the hidden layer from the autocoder to the main network
* @param net Backprop neural net object
* @param autocoder Autocoder neural net object
* @param hidden_layer The layer within the neural net to be replaced with
* autocoder hidden units
*/
void bp_update_from_autocoder(bp * net,
bp * autocoder,
int hidden_layer)
{
int i;
/* for each unit on the hidden layer */
for (i = 0; i < net->NoOfHiddens; i++) {
/* copy the neuron parameters from the autocoder hidden layer */
bp_neuron_copy(autocoder->hiddens[0][i],
net->hiddens[hidden_layer][i]);
}
}
static void test_backprop_neuron_copy()
{
bp_neuron n1, n2;
int retval, no_of_inputs=10;
unsigned int random_seed = 123;
printf("test_backprop_neuron_copy...");
bp_neuron_init(&n1, no_of_inputs, &random_seed);
bp_neuron_init(&n2, no_of_inputs, &random_seed);
bp_neuron_copy(&n1, &n2);
retval = bp_neuron_compare(&n1, &n2);
if (retval != 1) {
printf("\nretval %d\n", retval);
}
assert(retval == 1);
bp_neuron_free(&n1);
bp_neuron_free(&n2);
printf("Ok\n");
}
