1 files changed, 0 insertions, 70 deletions
diff --git a/src/nn.c b/src/nn.c
index 0bcc28b..63dd643 100644
--- a/src/nn.c
+++ b/src/nn.c
@@ -9,41 +9,11 @@ static double get_avg_loss(
 double square_loss(double labels[], double net_outs[], size_t shape);
 double square_dloss_out(double labels, double net_out);
 
-double leaky_relu(double x);
-double dleaky_relu(double x);
-double relu(double x);
-double drelu(double x);
-double sigmoid(double x);
-double dsigmoid(double x);
-double softplus(double x);
-double dsoftplus(double x);
-
 struct Cost NN_SQUARE = {
     .func = square_loss,
     .dfunc_out = square_dloss_out
 };
 
-struct Activation NN_SOFTPLUS = {
-    .func = softplus,
-    .dfunc = dsoftplus,
-};
-
-struct Activation NN_LEAKY_RELU = {
-    .func = leaky_relu,
-    .dfunc = dleaky_relu
-};
-
-struct Activation NN_RELU = {
-    .func = relu,
-    .dfunc = drelu
-};
-
-struct Activation NN_SIGMOID = {
-    .func = sigmoid,
-    .dfunc = dsigmoid
-};
-
-
 void nn_network_train(
         Layer network[], size_t network_size,
         double *input, size_t input_shape[2],
@@ -338,46 +308,6 @@ nn_fill_random_weights_error:
     exit(1);
 }
 
-double sigmoid(double x)
-{
-    return 1 / (1 + exp(-x));
-}
-
-double dsigmoid(double x)
-{
-    return sigmoid(x) * (1 - sigmoid(x));
-}
-
-double relu(double x)
-{
-    return (x > 0) ? x : 0;
-}
-
-double drelu(double x)
-{
-    return (x > 0) ? 1 : 0;
-}
-
-double leaky_relu(double x)
-{
-    return (x > 0) ? x : 0.01 * x;
-}
-
-double dleaky_relu(double x)
-{
-    return (x > 0) ? 1 : 0.01;
-}
-
-double softplus(double x)
-{
-    return log1p(exp(x));
-}
-
-double dsoftplus(double x)
-{
-    return sigmoid(x);
-}
-
 double square_loss(double labels[], double net_out[], size_t shape)
 {
     double sum = 0;