关于“Performing Basic Feature Engineering in Keras”的评价

Arpit J. · 已于 over 2 years前审核

YUN-QI L. · 已于 over 2 years前审核

I believe this lab might not have the correct steps, because the loss that is returned by the model after training is loss: 15769783296.0000; mse: 15769783296.0000. That doesn't look correct at all. The same output can be seen in the solutions lab. Also, the final prediction in the solutions lab, after the feature crosses, is 192184.52 which is not close to the stated prediction of $234,000 NEAR OCEAN

Denis C. · 已于 over 2 years前审核

Adrianna T. · 已于 over 2 years前审核

Muhammad Zunnurain H. · 已于 over 2 years前审核

Giap L. · 已于 over 2 years前审核

Avinash A. · 已于 over 2 years前审核

gg

Moh Wildan H. · 已于 over 2 years前审核

Sraya M. · 已于 over 2 years前审核

Use of obsolete tf functions

Anton A. · 已于 over 2 years前审核

notebook should be maintained theres a part that i couldnt follow

Gerardo F. · 已于 over 2 years前审核

Daniel G. · 已于 over 2 years前审核

Abhishek K. · 已于 over 2 years前审核

Shobhit S. · 已于 over 2 years前审核

Shobhit S. · 已于 over 2 years前审核

Omar S. · 已于 over 2 years前审核

Archie P. · 已于 over 2 years前审核

Filippo D. · 已于 over 2 years前审核

Szymon T. · 已于 over 2 years前审核

Lucas d. · 已于 over 2 years前审核

Rafał W. · 已于 over 2 years前审核

Bátor H. · 已于 over 2 years前审核

SOUMOJIT G. · 已于 over 2 years前审核

xnqeknckje

Avirup D. · 已于 over 2 years前审核

This lab needs to be updated due to deprecated & obsolete starter code. I ran into issues where code hung & I could not restart / break the kernel.

Zach S. · 已于 over 2 years前审核