Classifying Structured Data using Keras Preprocessing Layers Reviews

Ayan D. · Reviewed about 4 years ago

Sergio Adriano L. · Reviewed about 4 years ago

Xiaohui L. · Reviewed about 4 years ago

Mingming A. · Reviewed about 4 years ago

Greg R. · Reviewed about 4 years ago

MinhNhut N. · Reviewed about 4 years ago

Alchemical R. · Reviewed about 4 years ago

Augusto S. · Reviewed about 4 years ago

I learned 0% in this lab. As a beginner in Keras I felt I was at least confident in developing a DL model. But now I'm just confused... The notebook might be going a bit too fast for me. For example there is a #TODO part where you're expected to use model.fit but nowhere in the material was I taught that. I only know it because I've used it before

Tansel T. · Reviewed about 4 years ago

Shashi P. · Reviewed about 4 years ago

Yuexin M. · Reviewed about 4 years ago

Sahil G. · Reviewed about 4 years ago

Hamza E. · Reviewed about 4 years ago

Guilherme A. · Reviewed about 4 years ago

Rahul S. · Reviewed about 4 years ago

Keren K. · Reviewed about 4 years ago

Sikha N. · Reviewed about 4 years ago

I had to change the rating to add a comment that didn't occur to me before. This lab precedes the introduction of the sequential api, and uses the functional api to do the "tricky" connections between the Inputs and the encoders. I completely missed that point going through it the first time around. I would suggest that this point be highlighted more clearly in the lab, and that this lab is done after the functional api is introduced. Thank you! I really liked the end-to-end example used here with tf.data and preprocessing layers, and the tradeoffs.

Pritam D. · Reviewed about 4 years ago

Leomário M. · Reviewed about 4 years ago

Scott V. · Reviewed about 4 years ago

Robert C. · Reviewed about 4 years ago

jonathan v. · Reviewed about 4 years ago

Adam C. · Reviewed about 4 years ago

Atul R. · Reviewed about 4 years ago