关于“Build a DNN using the Keras Functional API”的评价

Hiroki I. · 已于 over 4 years前审核

GUTTENBERG F. · 已于 over 4 years前审核

Iyasu E. · 已于 over 4 years前审核

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. · 已于 over 4 years前审核

Adrian B. · 已于 over 4 years前审核

Rochak L. · 已于 over 4 years前审核

Aldrich L. · 已于 over 4 years前审核

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

Maurice E. · 已于 over 4 years前审核

Larry L. · 已于 over 4 years前审核

Jeff P. · 已于 over 4 years前审核

Daniel W. · 已于 over 4 years前审核

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. · 已于 over 4 years前审核

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