关于“Advanced Visualizations with TensorFlow Data Validation”的评价

Muhammad I. · 评论over 2 years之前

Siddhesh N. · 评论over 2 years之前

Dave S. · 评论over 2 years之前

kishore k. · 评论over 2 years之前

done

Kishore K. · 评论over 2 years之前

Rupesh P. · 评论over 2 years之前

julien P. · 评论over 2 years之前

Aljon P. · 评论over 2 years之前

Awesome!

Luis Ángel M. · 评论over 2 years之前

Manuel P. · 评论over 2 years之前

I had to complete the lab locally due to the course being out of date

Matthew V. · 评论over 2 years之前

dailin m. · 评论over 2 years之前

Fahad A. · 评论over 2 years之前

Pritam B. · 评论over 2 years之前

great

Snehal C. · 评论over 2 years之前

Hugo M. · 评论over 2 years之前

Nirmal R. · 评论over 2 years之前

Xiaofeng X. · 评论over 2 years之前

Rana A. · 评论over 2 years之前

Srikeerti V. · 评论over 2 years之前

Omar E. · 评论over 2 years之前

Laszlo S. · 评论over 2 years之前

This comment in the notebook is not consistent with the "serving data": "We also have an INT value in our trip seconds, where our schema expected a FLOAT. By making us aware of that difference, TFDV helps uncover inconsistencies in the way the data is generated for training and serving. It's very easy to be unaware of problems like that until model performance suffers, sometimes catastrophically. It may or may not be a significant issue, but in any case this should be cause for further investigation. In this case, we can safely convert INT values to FLOATs, so we want to tell TFDV to use our schema to infer the type. Let's do that now." Actually no anomly is detected for "trip seconds" feature.

Giovanna S. · 评论over 2 years之前

Abdul Q. · 评论over 2 years之前