Python MnistImageDataReader.Shuffle示例

示例#1

文件： Level6_MnistConvNet.py 项目： yeshrb/ai-edu

def LoadData(num_output):
    mdr = MnistImageDataReader("image")
    mdr.ReadData()
    mdr.NormalizeX()
    mdr.NormalizeY(NetType.MultipleClassifier, base=0)
    mdr.Shuffle()
    mdr.GenerateValidationSet(k=12)
    return mdr

示例#2

def load_data():
    dataReader = MnistImageDataReader(mode="timestep")
    dataReader.ReadLessData(10000)
    dataReader.NormalizeX()
    dataReader.NormalizeY(NetType.MultipleClassifier, base=0)
    dataReader.Shuffle()
    dataReader.GenerateValidationSet(k=12)
    return dataReader

示例#3

文件： Level5_FashionMnist_DNN.py 项目： microsoft/ai-edu

def LoadData(mode):
    mdr = MnistImageDataReader(train_x, train_y, test_x, test_y, mode)
    mdr.ReadData()
    mdr.NormalizeX()
    mdr.NormalizeY(NetType.MultipleClassifier, base=0)
    mdr.Shuffle()
    mdr.GenerateValidationSet(k=12)
    return mdr

示例#4

文件： Base_MNIST-keras.py 项目： Knowledge-Precipitation-Tribe/Recurrent-neural-network

def load_data():
    dataReader = MnistImageDataReader(mode="timestep")
    dataReader.ReadData()
    dataReader.NormalizeX()
    dataReader.NormalizeY(NetType.MultipleClassifier, base=0)
    dataReader.Shuffle()
    dataReader.GenerateValidationSet(k=12)
    x_train, y_train = dataReader.XTrain, dataReader.YTrain
    x_test, y_test = dataReader.XTest, dataReader.YTest
    x_val, y_val = dataReader.XDev, dataReader.YDev
    x_train = x_train.squeeze()
    x_test = x_test.squeeze()
    x_val = x_val.squeeze()

    x_test_raw = dataReader.XTestRaw[0:64]
    y_test_raw = dataReader.YTestRaw[0:64]

    return x_train, y_train, x_test, y_test, x_val, y_val, x_test_raw, y_test_raw