Question

我使用CNN对多类图像进行分类，我使用带有Tensorflow后端的Keras

model = Sequential()
model.add(Conv2D(32, (3, 3), input_shape=(img_width, img_height, 3)))
model.add(Activation("relu"))
model.add(MaxPooling2D(pool_size=(2, 2)))

model.add(Conv2D(nb_filters2, (3, 3)))
model.add(Activation("relu"))
model.add(MaxPooling2D(pool_size=(2, 2)))

model.add(Flatten())
model.add(Dense(256))
model.add(Activation("relu"))
model.add(Dropout(0.5))
model.add(Dense(classes_num, activation='softmax'))

model.compile(loss='categorical_crossentropy',
          optimizer='rmsprop',
          metrics=['accuracy'])

和适合的步骤：

train_datagen = ImageDataGenerator(
    rescale=1. / 255,
    shear_range=0.2,
    zoom_range=0.2,
    horizontal_flip=True)

test_datagen = ImageDataGenerator(rescale=1. / 255)

train_generator = train_datagen.flow_from_directory(
    train_data_path,
    target_size=(img_height, img_width),
    batch_size=batch_size,
    class_mode='categorical')

validation_generator = test_datagen.flow_from_directory(
    validation_data_path,
    target_size=(img_height, img_width),
    batch_size=batch_size,
    class_mode='categorical')

model.fit_generator(
    train_generator,
    samples_per_epoch=samples_per_epoch,
    epochs=epochs,
    validation_data=validation_generator,
    callbacks=cbks,
    validation_steps=validation_steps)

但是当它运行时，我遇到了这个错误：

ValueError: Error when checking target: expected dense_6 to have shape (3,) but got array with shape (9,)

我该如何修复我的代码？我的图片有3个频道

ValueError：错误的预期阵列形状 - Keras神经网络

0 个答案: