python、keras。トレーニングモデルを構築中にエラーが発生しました：TypeError： 'int'オブジェクトが呼び出せません

Question

私の列車モデルを構築する際に問題があります。 'int'オブジェクトは呼び出し可能ではありません。ここ

は私のコードです：ここでは

from __future__ import print_function 
import keras 

from keras.models import Sequential 
from keras.layers import Dense, Dropout, Flatten 
from keras.layers import Conv2D, MaxPooling2D 
from keras.utils import np_utils 
from keras import backend as K 
import pandas as pd 
import numpy as np 


# input image dimensions 
img_rows, img_cols = 7, 7 

# fix random seed for reproducibility 
seed = 7 
np.random.seed(seed) 

x_train = pd.read_csv('palm_3x3_test.csv') 
x_train.drop(['class'],axis=1,inplace=True) 
x_train = x_train.as_matrix().reshape(-1, 7, 7) 

y_train = pd.read_csv('palm_3x3_test.csv') 
y_train = y_train[['class']] 


x_test = pd.read_csv('palm_3x3_data.csv') 
x_test.drop(['class'],axis=1,inplace=True) 
x_test = x_test.as_matrix().reshape(-1, 7, 7) 

y_test = pd.read_csv('palm_3x3_data.csv') 
y_test = y_test[['class']] 

# reshape to be [samples][pixels][width][height] 
x_train_final = x_train.reshape(x_train.shape[0], 7, 7,1).astype('float32') 
x_test_final = x_test.reshape(x_test.shape[0], 7, 7,1).astype('float32') 

# normalize inputs from 0-255 to 0-1 
x_train_final = x_train_final/255 
x_test_final = x_test_final/255 

# one hot encode outputs 
y_train = np_utils.to_categorical(y_train) 
y_test = np_utils.to_categorical(y_test) 
num_classes = y_test.shape[1] 

input_shape = (img_rows,img_cols , 1) 

def baseline_model(): 
#  create model 

    model = Sequential() 
    model.add(Conv2D(30 (5,5), border_mode='valid', input_shape=(1,(7,7)), activation='relu')) 
    model.add(MaxPooling2D(pool_size=(2, 2))) 
    model.add(Conv2D(15 (3, 3), activation='relu')) 
    model.add(MaxPooling2D(pool_size=(2, 2))) 
    model.add(Dropout(0.2)) 
    model.add(Flatten()) 
    model.add(Dense(128, activation='relu')) 
    model.add(Dense(50, activation='relu')) 
    model.add(Dense(num_classes, activation='softmax')) 

    # Compile model 
    model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy']) 
    return model 

# build the model 
model = baseline_model() 
# Fit the model 
model.fit(x_train_final,y_train_final, validation_data=(x_test,y_test), nb_epoch=10, batch_size=200,verbose=2) 
# Final evaluation of the model 
scores = model.evaluate(x_test,y_test, verbose=0) 
print("CNN Error: %.2f%%" % (100-scores[1]*100)) 

は誤りです：

--------------------------------------------------------------------------- 
TypeError         Traceback (most recent call last) 
<ipython-input-42-7f55d9765a8e> in <module>() 
    76 
    77 # build the model 
---> 78 model = baseline_model() 
    79 # Fit the model 
    80 model.fit(x_train_final,y_train_final, validation_data=(x_test,y_test), nb_epoch=10, batch_size=200,verbose=2) 

<ipython-input-42-7f55d9765a8e> in baseline_model() 
    61 
    62  model = Sequential() 
---> 63  model.add(Conv2D(30 (5,5), border_mode='valid', input_shape=(1,(7,7)), activation='relu')) 
    64  model.add(MaxPooling2D(pool_size=(2, 2))) 
    65  model.add(Conv2D(15 (3, 3), activation='relu')) 

TypeError: 'int' object is not callable 

私は関連のエラーを検索してみましたと答えのほとんどは、変数の命名衝突関数名について言っています。このエラーの理由は、私の変数の命名が原因ですか？

Answer 1

あなたはパラメータ5,5で30を呼び出そうとしているThatsなぜ

model.add(Conv2D(30 (5,5), border_mode='valid', input_shape=(1,(7,7)), activation='relu')) 

に30後にカンマが含まれていません。