Why input shape is not used in regression example? #312
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I noticed that there are a handfull of features in the insurance dataset. In the begining of the course, there is a slide that indicates that in regression, number of feautures defines the input dhape. However the input shape is not being used in models. Why? |
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Straight from the Keras documentations: Is simple language:shape is not required attribute |
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Thank you for the answer! |
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Straight from the Keras documentations:
shape: A shape tuple (integers), not including the batch size. For instance, shape=(32,) indicates that the expected input will be batches of 32-dimensional vectors. Elements of this tuple can be None; 'None' elements represent dimensions where the shape is not known.
Is simple language:shape is not required attribute