kerasによるcnn実装のエラー

Question

kerasによるcnnの実装でエラーが出ました

from tensorflow.python.keras.datasets import cifar10
(x_train,y_train),(x_test,y_test) = cifar10.load_data()

#data大きさ確認
print('x_train.shape :',x_train.shape)
print('x_test.shape :',x_test.shape)
print('y_train.shape :',y_train.shape)
print('y_test.shape :',y_test.shape)

from tensorflow.python.keras.utils import to_categorical

#特徴量の正規化
x_train = x_train/255.
x_test = x_test/255.

#クラスラベルの1-hotベクトル化
y_train = to_categorical(y_train, 10)
y_test = to_categorical(y_test,10)

from tensorflow.python.keras.models import Sequential

model = Sequential()

from tensorflow.python.keras.layers import Conv2D

model.add(
        Conv2D(
            filters=32,
            input_shape=(32, 32, 3),
            kernel_size=(3, 3),
            strides=(1, 1),
            padding='same',
            activation='relu'
            )
        )
model.add(
        Conv2D(
            filters=32,
            kernel_size=(3, 3),
            strides=(1, 1),
            padding='same',
            activation='relu',
            )
        )
from tensorflow.python.keras.layers import MaxPooling2D

model.add(MaxPooling2D(pool_size=(2, 2)))

from tensorflow.python.keras.layers import Dropout

model.add(Dropout(0.25))
model.add(
        Conv2D(
                filers=64,
                kernel_size=(3, 3),
                strides=(1, 1),
                padding='same',
                activation='relu',
                )
        )
model.add(
        Conv2D(
                filers=64,
                kernel_size=(3, 3),
                strides=(1, 1),
                padding='same',
                activation='relu',
                )
        )
model.add(MaxPooling2D(pool_size=(2, 2)))
model.add(Dropout(0.25))

from tensorflow.python.keras.layers import Flatten

model.add(Flatten())
model.output_shape

from tensorflow.python.keeras.callbacks import TensorBord

model.compile(
        optimizer='adam',
        loss='categorical_crossentropy',
        metrics=['accuracy']
        )
tsb = TensorBord(log_dir='logs')
histry_model1 = model.fit(
        x_train,
        y_train,
        batch_size=32,
        epochs=20,
        validation_split=0.2,
        callbacks=[tsb]
        )

エラー

TypeError: __init__() missing 1 required positional argument: 'filters'

Comments

[tiitoi]

paddindg は padding のスペルミスではないですか

Answer 1

Conv2Dのところでfiltersであるべきところがfilersになってしまっている気がします。