tensorflow - 我必须将数据集转换为 Google Cloud ML Engine 的 TFRecords 吗？

Question

我可以在 Google Cloud ML Engine 中训练模型而不将数据集转换为 TFRecords 吗？

Answer 1

是的，你可以，根据 docs :

Cloud ML Engine doesn't get involved in your data format; you can use whatever input format is convenient for your training application. That said, you'll need to have your input data in a format that TensorFlow can read. You also need to have your data in a location that your Cloud ML Engine project can access. The simplest solution is often to use a CSV file in a Google Cloud Storage bucket that your Google Cloud project has access to. Some types of data, sparse vectors and binary data for example, can be better represented using TensorFlow's tf.train.Example format serialized in a TFRecords file.