We should now know how to use the convolutional and maxpool layers in TensorFlow with one-dimensional and two-dimensional data. Regardless of the shape of the input, we ended up with the same size output. This is important for illustrating the flexibility of neural network layers. This section should also impress upon us again the importance of shapes and sizes in neural network operations.
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