#pragma lib "libann.a"#pragma src "/sys/src/libann" typedef struct Ann Ann;typedef struct Layer Layer;typedef struct Neuron Neuron;typedef struct Weights Weights; struct Ann { int n; double rate; Layer **layers; Weights **weights; Weights **deltas; void *user; void *internal;}; struct Layer { int n; Neuron **neurons;}; struct Neuron { double (*activation)(Neuron*); double (*gradient)(Neuron*); double steepness; double value; double sum; void *user; void *internal;}; struct Weights { int inputs; int outputs; double **values;}; double activation_sigmoid(Neuron*);double gradient_sigmoid(Neuron*);double activation_tanh(Neuron*);double gradient_tanh(Neuron*);double activation_leaky_relu(Neuron*);double gradient_leaky_relu(Neuron*); Ann *anncreate(int, ...);Layer *layercreate(int, double(*)(Neuron*), double(*)(Neuron*));Neuron *neuroninit(Neuron*, double (*)(Neuron*), double (*)(Neuron*), double);Neuron *neuroncreate(double (*)(Neuron*), double (*)(Neuron*), double);Weights *weightsinitrand(Weights*);Weights *weightsinitrandscale(Weights*, double);Weights *weightsinitdouble(Weights*, double);Weights *weightsinitdoubles(Weights*, double*);Weights *weightscreate(int, int, int);double *annrun(Ann*, double*);double anntrain(Ann*, double*, double*); typedef struct Adam Adam; struct Adam { double rate; double beta1; double beta2; Weights **first; Weights **second; double epsilon; int timestep;}; double anntrain_adam(Ann*, double*, double*);double anntrain_adamax(Ann*, double*, double*);
#pragma lib "libann.a"
#pragma src "/sys/src/libann"
typedef struct Ann Ann;
typedef struct Layer Layer;
typedef struct Neuron Neuron;
typedef struct Weights Weights;
struct Ann {
int n;
double rate;
Layer **layers;
Weights **weights;
Weights **deltas;
void *user;
void *internal;
};
struct Layer {
int n;
Neuron **neurons;
};
struct Neuron {
double (*activation)(Neuron*);
double (*gradient)(Neuron*);
double steepness;
double value;
double sum;
void *user;
void *internal;
};
struct Weights {
int inputs;
int outputs;
double **values;
};
double activation_sigmoid(Neuron*);
double gradient_sigmoid(Neuron*);
double activation_tanh(Neuron*);
double gradient_tanh(Neuron*);
double activation_leaky_relu(Neuron*);
double gradient_leaky_relu(Neuron*);
Ann *anncreate(int, ...);
Layer *layercreate(int, double(*)(Neuron*), double(*)(Neuron*));
Neuron *neuroninit(Neuron*, double (*)(Neuron*), double (*)(Neuron*), double);
Neuron *neuroncreate(double (*)(Neuron*), double (*)(Neuron*), double);
Weights *weightsinitrand(Weights*);
Weights *weightsinitrandscale(Weights*, double);
Weights *weightsinitdouble(Weights*, double);
Weights *weightsinitdoubles(Weights*, double*);
Weights *weightscreate(int, int, int);
double *annrun(Ann*, double*);
double anntrain(Ann*, double*, double*);
typedef struct Adam Adam;
struct Adam {
double rate;
double beta1;
double beta2;
Weights **first;
Weights **second;
double epsilon;
int timestep;
};
double anntrain_adam(Ann*, double*, double*);
double anntrain_adamax(Ann*, double*, double*);