Criar uma DNN usando a API funcional do Keras avaliações

11275 avaliações

Hiroki I. · Revisado há over 4 years

GUTTENBERG F. · Revisado há over 4 years

Iyasu E. · Revisado há over 4 years

Good lab but the results are strange given the nature of TF random seed. First time I got a loss of around, and it wouldn't go down with more epochs. Second time I got a loss of 10 on the second epoch and then stayed there, but the fare prediction was negative. Third time was just like the first one.

Jesús R. · Revisado há over 4 years

Adrian B. · Revisado há over 4 years

Rochak L. · Revisado há over 4 years

Aldrich L. · Revisado há over 4 years

Seemed weird tho - I put in some wild variations of lat/lon and all fares were 18.something; didn't seem right.

Maurice E. · Revisado há over 4 years

Larry L. · Revisado há over 4 years

Jeff P. · Revisado há over 4 years

Daniel W. · Revisado há over 4 years

to big of a disconnect between training material and exercise. not once is keras.layers.input mentioned but we are expected to use it. A hint like go read up on this tf example page would already be enough of a hint what is expected in this particular exersize...

Marco v. · Revisado há over 4 years

Mohnish S. · Revisado há over 4 years

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Leonard P. · Revisado há over 4 years

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