CNN神经网络训练程序，出现异常，如何解决？(语言-python)

问题遇到的现象和发生背景

python CNN神经网络，构建了一个模型，但是训练的时候出错，不知道是什么原因

问题相关代码，请勿粘贴截图

import keras
from keras.datasets import mnist
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten
from keras.layers import Conv2D, MaxPooling2D

model = Sequential()

model.add(Conv2D(32, (3, 3), input_shape=(100, 100, 3), activation='relu'))
model.add(MaxPooling2D(pool_size=(2, 2), strides=2))
model.add(Dropout(0.05))

model.add(Conv2D(32, (3, 3), activation='relu'))
model.add(MaxPooling2D(pool_size=(2, 2), strides=2))
model.add(Dropout(0.05))

model.add(Conv2D(48, (3, 3),activation='relu'))
model.add(MaxPooling2D(pool_size=(2, 2), strides=2))
model.add(Dropout(0.05))

model.add(Conv2D(48, (4, 4), activation='relu'))
model.add(MaxPooling2D(pool_size=(2, 2), strides=2))
model.add(Dropout(0.05))

model.add(Flatten())

model.add(Dense(1024, activation='relu'))
model.add(Dropout(0.05))

model.add(Dense(256, activation='relu'))
model.add(Dropout(0.05))

model.add(Dense(num_classes, activation="softmax"))
model.summary()

model.compile(loss=keras.losses.categorical_crossentropy, optimizer=keras.optimizers.Adam(), metrics=['accuracy'])
model.fit(train_data, batch_size = 3, epochs=15)




---------------------------------------------------------------------------
InvalidArgumentError                      Traceback (most recent call last)
Input In [6], in <cell line: 3>()
      1 #remove optimizer if needed
      2 model.compile(loss=keras.losses.categorical_crossentropy, optimizer=keras.optimizers.Adam(), metrics=['accuracy'])
----> 3 model.fit(train_data, batch_size = 3, epochs=15)

File ~/opt/anaconda3/lib/python3.9/site-packages/keras/utils/traceback_utils.py:67, in filter_traceback.<locals>.error_handler(*args, **kwargs)
     65 except Exception as e:  # pylint: disable=broad-except
     66   filtered_tb = _process_traceback_frames(e.__traceback__)
---> 67   raise e.with_traceback(filtered_tb) from None
     68 finally:
     69   del filtered_tb

File ~/opt/anaconda3/lib/python3.9/site-packages/tensorflow/python/eager/execute.py:54, in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name)
     52 try:
     53   ctx.ensure_initialized()
---> 54   tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
     55                                       inputs, attrs, num_outputs)
     56 except core._NotOkStatusException as e:
     57   if name is not None:

InvalidArgumentError: Graph execution error:

我的解答思路和尝试过的方法

我想要达到的结果

训练语句出错了吧。