python - 您输入的数据用完了；中断训练。确保您的数据集或生成器至少可以生成 steps_per_epoch

Question

当我训练我的自动驾驶汽车模型时，它在第一个时期给我错误。尽管当我减小 batch_size 时它工作正常。但这并没有给我想要的准确性。

我正在 Google Collab 中训练我的模型。

tensorflow 版本 2.3.1

错误:

WARNING:tensorflow:Your input ran out of data; interrupting training. Make sure that your dataset or generator can generate at least `steps_per_epoch * epochs` batches (in this case, 20000 batches). You may need to use the repeat() function when building your dataset.

我的代码:

def modified_model():
  model = Sequential()
  model.add(Conv2D(60, (5, 5), input_shape=(32, 32, 1), activation='relu'))
  model.add(Conv2D(60, (5, 5), activation='relu'))
  model.add(MaxPooling2D(pool_size=(2, 2)))
  
  model.add(Conv2D(30, (3, 3), activation='relu'))
  model.add(Conv2D(30, (3, 3), activation='relu'))
  model.add(MaxPooling2D(pool_size=(2, 2)))
  
  model.add(Flatten())
  model.add(Dense(500, activation='relu'))
  model.add(Dropout(0.5))
  model.add(Dense(43, activation='softmax'))
  
  model.compile(Adam(lr = 0.001), loss='categorical_crossentropy', metrics=['accuracy'])
  return model
model = modified_model()
print(model.summary())

history = model.fit_generator(datagen.flow(X_train, y_train, batch_size=50),
                            steps_per_epoch=2000,
                            epochs=10,
                            validation_data=(X_val, y_val), shuffle = 1)

Answer 1

使用生成器时，让模型计算出实际上有多少步可以覆盖一个纪元，否则您将不得不计算 steps_per_epoch=(data_samples/batch_size)。尝试在没有 step_per_epoch 参数的情况下运行