小编waf*_*afa的帖子

我正在使用 python 和张量流，但我想念“单位”参数，我不知道如何解决它，看起来您的帖子主要是代码；请添加更多详细信息。看起来您的帖子主要是代码；请添加更多详细信息。

这里的代码

def createModel():
    model = Sequential()
    # first set of CONV => RELU => MAX POOL layers
    model.add(Conv2D(32, (3, 3), padding='same', activation='relu', input_shape=inputShape))
    model.add(Conv2D(32, (3, 3), activation='relu'))
    model.add(MaxPooling2D(pool_size=(2, 2)))
    model.add(Dropout(0.25))

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

    model.add(Flatten())
    model.add(Dense(512, activation='relu'))
    model.add(Dropout(0.5))
    model.add(Dense(output_dim=NUM_CLASSES, activation='softmax'))
    # returns our fully constructed deep learning + Keras image classifier 
    opt = Adam(lr=INIT_LR, decay=INIT_LR / EPOCHS) …