Web Reference: Oct 31, 2019 · Continuation from previous question: Tensorflow - TypeError: 'int' object is not iterable. My training data is a list of lists each comprised of 1000 floats. For example, x_train[0] = [0.0, 0.0, 0.1, 0.25, 0.5, ...] Here is my model: input_shape=(1000, 1), return_sequences=True)) loss='binary_crossentropy', metrics=['accuracy']) TensorFlow doesn't know how to directly convert an array where elements are themselves arrays into a standard flat tensor. Solution: Flatten or Restructure the Data Dec 20, 2024 · This error typically arises due to mismatches or incorrect data types in the input values expected by TensorFlow operations. Understanding and fixing this error is crucial for seamless execution of your machine learning models.
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