diff --git a/Tinn.c b/Tinn.c index bbe4a22..b366c0e 100644 --- a/Tinn.c +++ b/Tinn.c @@ -6,19 +6,19 @@ #include // Error function. -static float err(float a, float b) +static float err(const float a, const float b) { return 0.5f * powf(a - b, 2.0f); } // Partial derivative of error function. -static float pderr(float a, float b) +static float pderr(const float a, const float b) { return a - b; } // Total error. -static float terr(const float* tg, const float* o, int size) +static float terr(const float* const tg, const float* const o, const int size) { float sum = 0.0f; for(int i = 0; i < size; i++) @@ -27,13 +27,13 @@ static float terr(const float* tg, const float* o, int size) } // Activation function. -static float act(float a) +static float act(const float a) { return 1.0f / (1.0f + expf(-a)); } // Partial derivative of activation function. -static float pdact(float a) +static float pdact(const float a) { return a * (1.0f - a); } @@ -45,7 +45,7 @@ static float frand() } // Back propagation. -static void backwards(const Tinn t, const float* in, const float* tg, float rate) +static void backwards(const Tinn t, const float* const in, const float* const tg, float rate) { for(int i = 0; i < t.nhid; i++) { @@ -66,7 +66,7 @@ static void backwards(const Tinn t, const float* in, const float* tg, float rate } // Forward propagation. -static void forewards(const Tinn t, const float* in) +static void forewards(const Tinn t, const float* const in) { // Calculate hidden layer neuron values. for(int i = 0; i < t.nhid; i++) @@ -121,20 +121,20 @@ static void* ecalloc(const size_t nmemb, const size_t size) return mem; } -float* xpredict(const Tinn t, const float* in) +float* xpredict(const Tinn t, const float* const in) { forewards(t, in); return t.o; } -float xttrain(const Tinn t, const float* in, const float* tg, float rate) +float xttrain(const Tinn t, const float* const in, const float* const tg, float rate) { forewards(t, in); backwards(t, in, tg, rate); return terr(tg, t.o, t.nops); } -Tinn xtbuild(int nips, int nhid, int nops) +Tinn xtbuild(const int nips, const int nhid, const int nops) { Tinn t; // Tinn only supports one hidden layer so there are two biases. @@ -152,7 +152,7 @@ Tinn xtbuild(int nips, int nhid, int nops) return t; } -void xtsave(const Tinn t, const char* path) +void xtsave(const Tinn t, const char* const path) { FILE* const file = efopen(path, "w"); // Header. @@ -163,7 +163,7 @@ void xtsave(const Tinn t, const char* path) fclose(file); } -Tinn xtload(const char* path) +Tinn xtload(const char* const path) { FILE* const file = efopen(path, "r"); int nips = 0; diff --git a/Tinn.h b/Tinn.h index 610fac1..79a12df 100644 --- a/Tinn.h +++ b/Tinn.h @@ -30,10 +30,10 @@ Tinn xtbuild(int nips, int nhid, int nops); float* xpredict(const Tinn, const float* in); // Saves the tinn to disk. -void xtsave(const Tinn, const char* path); +void xtsave(Tinn, const char* path); // Loads a new tinn from disk. Tinn xtload(const char* path); // Frees a tinn from the heap. -void xtfree(const Tinn); +void xtfree(Tinn);