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
ABDELMONEM K. · Revisado há over 4 years
Ganesh P. · Revisado há over 4 years
Kornesh K. · Revisado há over 4 years
NEY C. · Revisado há over 4 years
marwan s. · Revisado há over 4 years
Nasiba Z. · Revisado há over 4 years
Brandon C. · Revisado há over 4 years
Basab K. · Revisado há over 4 years
Corina C. · Revisado há over 4 years
Dmitry O. · Revisado há over 4 years
Hasan M. · Revisado há over 4 years
Leonard P. · Revisado há over 4 years
Não garantimos que as avaliações publicadas sejam de consumidores que compraram ou usaram os produtos. As avaliações não são verificadas pelo Google.