关于“Performing Basic Feature Engineering in Keras”的评价

Arpit J. · 评论over 1 year之前

YUN-QI L. · 评论over 1 year之前

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. · 评论over 1 year之前

Adrianna T. · 评论over 1 year之前

Muhammad Z. · 评论over 1 year之前

Giap L. · 评论over 1 year之前

Avinash A. · 评论over 1 year之前

gg

Moh Wildan H. · 评论over 1 year之前

Sraya M. · 评论over 1 year之前

Use of obsolete tf functions

Anton A. · 评论over 1 year之前

notebook should be maintained theres a part that i couldnt follow

Gerardo F. · 评论over 1 year之前

Daniel G. · 评论over 1 year之前

Abhishek K. · 评论over 1 year之前

Shobhit S. · 评论over 1 year之前

Shobhit S. · 评论over 1 year之前

Omar S. · 评论over 1 year之前

Archie P. · 评论over 1 year之前

Filippo D. · 评论over 1 year之前

Szymon T. · 评论over 1 year之前

Lucas d. · 评论over 1 year之前

Rafał W. · 评论over 1 year之前

Bátor H. · 评论over 1 year之前

SOUMOJIT G. · 评论over 1 year之前

xnqeknckje

Avirup D. · 评论over 1 year之前

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. · 评论over 1 year之前