def _activate_function(self, input_data):
try:
#I = np.dot(np.log(W),Y)
I = np.dot(accel.log(self.W), input_data)
#I = np.dot(self._log(W),input_data)
except:
I = np.sum(np.sum(input_data[np.newaxis, :, :] * accel.log(self.W),
axis=1),
axis=1)
#TODO: Check This!
return I.astype('float64')
def _activate_function(self, input_data):
try:
#I = np.dot(np.log(W),Y)
I = np.dot(accel.log(self.W),input_data)
#I = np.dot(self._log(W),input_data)
except:
I = np.sum(np.sum(
input_data[np.newaxis,:,:]*accel.log(self.W),
axis=1),axis=1)
#TODO: Check This!
return I.astype('float64')
def _activate_function(self, input_data):
#I = np.dot(np.log(self.W),Y)
I = np.dot(accel.log(self.W), input_data)
#I = np.dot(self._log(self.W),input_data)
return I.astype('float64')
def _activate_function(self, input_data):
#I = np.dot(np.log(self.W),Y)
I = np.dot(accel.log(self.W),input_data)
#I = np.dot(self._log(self.W),input_data)
return I.astype('float64')
