关于“Performing Basic Feature Engineering in Keras”的评价

YUN-QI L. · 已于 over 1 year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 1 year前审核

Adrianna T. · 已于 over 1 year前审核

Muhammad Z. · 已于 over 1 year前审核

Giap L. · 已于 over 1 year前审核

Avinash A. · 已于 over 1 year前审核

gg

Moh Wildan H. · 已于 over 1 year前审核

Sraya M. · 已于 over 1 year前审核

Use of obsolete tf functions

Anton A. · 已于 over 1 year前审核

notebook should be maintained theres a part that i couldnt follow

Gerardo F. · 已于 over 1 year前审核

Daniel G. · 已于 over 1 year前审核

Abhishek K. · 已于 over 1 year前审核

Shobhit S. · 已于 over 1 year前审核

Shobhit S. · 已于 over 1 year前审核

Omar S. · 已于 over 1 year前审核

Archie P. · 已于 over 1 year前审核

Filippo D. · 已于 over 1 year前审核

Szymon T. · 已于 over 1 year前审核

Lucas d. · 已于 over 1 year前审核

Rafał W. · 已于 over 1 year前审核

Bátor H. · 已于 over 1 year前审核

SOUMOJIT G. · 已于 over 1 year前审核

xnqeknckje

Avirup D. · 已于 over 1 year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 1 year前审核

Andrey M. · 已于 over 1 year前审核