def printMatrix():
name = input(
'Input matrix\'s name to be printed. (Read from ".mtrx" file)\n>>>')
raw = IO.RAWReader()
raw.open(name + '.mtrx')
matrix = IO.getAMatrix(raw)
np.set_printoptions(threshold=np.nan)
print(matrix)
def loadfromFile(self, Filename):
try:
MyRAWReader = IO.RAWReader()
MyRAWReader.open(Filename + '.node')
self.Name = Filename
self.LayersCount = int(MyRAWReader.pop())
self.LayerNeuronsCount = []
self.Weight = []
self.Bias = []
# Get the LayersCount first and Initlalize LayerNeuronsCount, Weight and Bias
for layer in range(0, self.LayersCount):
self.LayerNeuronsCount.append(int(MyRAWReader.pop()))
# Get each layer's neurons count one by one
for layer in range(0, self.LayersCount - 1):
self.Weight.append(IO.getAMatrix(MyRAWReader))
# Get each layer's weight one by one
for layer in range(0, self.LayersCount - 1):
self.Bias.append(IO.getAMatrix(MyRAWReader))
# Get each layer's bias one by one
except:
print('warning: Loading ' + Filename + '.node error!')