def forward_propagate(self,X):
W = self.get_param(0,"param","W")
b = self.get_param(0,"param","b")
# linear part
Z = np.dot(W,X) + b
# activation
self.info[0]["A"] = functions_activation.activation(self.info[0]["activation"],Z)
def forward_propagate(self,X):
for layer in range(self.nlayer):
# linear part
if layer == 0:
Ain = X
else:
Ain = self.get_A(layer-1)
W = self.get_param(layer,"param","W")
b = self.get_param(layer,"param","b")
Z = np.dot(W,Ain)+b
# activation
self.info[layer]["A"] = functions_activation.activation(self.info[layer]["activation"],Z)