我使用的数据集是 EMNIST 数据集，其中包含 28 x 28 维度的 handwritten 字母图像，我已经将它们转换为 .csv 文件，这样做图像识别训练是正确的吗？错误发生在这一行 classifier.train(input_fn=train_input_fn, steps=1)，这是完整的堆栈跟踪：

Traceback (most recent call last):  File "C:/Users/Slither/Documents/Scripts/lol.py", line 33, in <module>    classifier.train(input_fn=train_input_fn, steps=1)  File "C:\Users\Slither\Anaconda3\lib\site-packages\tensorflow\python\estimator\estimator.py", line 302, in train    loss = self._train_model(input_fn, hooks, saving_listeners)  File "C:\Users\Slither\Anaconda3\lib\site-packages\tensorflow\python\estimator\estimator.py", line 711, in _train_model    features, labels, model_fn_lib.ModeKeys.TRAIN, self.config)  File "C:\Users\Slither\Anaconda3\lib\site-packages\tensorflow\python\estimator\estimator.py", line 694, in _call_model_fn    model_fn_results = self._model_fn(features=features, **kwargs)  File "C:\Users\Slither\Anaconda3\lib\site-packages\tensorflow\python\estimator\canned\dnn.py", line 334, in _model_fn    config=config)  File "C:\Users\Slither\Anaconda3\lib\site-packages\tensorflow\python\estimator\canned\dnn.py", line 203, in _dnn_model_fn    logits=logits)  File "C:\Users\Slither\Anaconda3\lib\site-packages\tensorflow\python\estimator\canned\head.py", line 456, in create_estimator_spec    name='class_string_lookup')  File "C:\Users\Slither\Anaconda3\lib\site-packages\tensorflow\python\ops\lookup_ops.py", line 1197, in index_to_string_table_from_tensor    vocabulary_list = ops.convert_to_tensor(vocabulary_list, dtypes.string)  File "C:\Users\Slither\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 836, in convert_to_tensor    as_ref=False)  File "C:\Users\Slither\Anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 926, in internal_convert_to_tensor    ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)  File "C:\Users\Slither\Anaconda3\lib\site-packages\tensorflow\python\framework\constant_op.py", line 229, in _constant_tensor_conversion_function    return constant(v, dtype=dtype, name=name)  File "C:\Users\Slither\Anaconda3\lib\site-packages\tensorflow\python\framework\constant_op.py", line 208, in constant    value, dtype=dtype, shape=shape, verify_shape=verify_shape))  File "C:\Users\Slither\Anaconda3\lib\site-packages\tensorflow\python\framework\tensor_util.py", line 383, in make_tensor_proto    _AssertCompatible(values, dtype)  File "C:\Users\Slither\Anaconda3\lib\site-packages\tensorflow\python\framework\tensor_util.py", line 303, in _AssertCompatible    (dtype.name, repr(mismatch), type(mismatch).__name__))TypeError: Expected string, got 0 of type 'int' instead.Process finished with exit code 1

回答：

词汇表应该是字符串，但您添加的是整数（您调用了 str(i) 并忽略了结果，当您可能的意思是 i = str(i) 时）。