Build a DNN using the Keras Functional API Reviews
11103 reviews
RAFI S. · Reviewed about 2 years ago
Jakub S. · Reviewed about 2 years ago
Gerardo T. · Reviewed about 2 years ago
Elnury D. · Reviewed about 2 years ago
Dan T. · Reviewed about 2 years ago
The tutorial suggest using a Tensorflow 2.6 jupyternote book. This doesn't work together with the lecture content, as it requires tf.keras.experimental.preprocessing.HashedCrossing which is not included in tf2.6. After upgrading to 2.11 this issue was fixed.
Ruben S. · Reviewed about 2 years ago
The notbooks doesnt cover the Deploy and predict with the model using Cloud AI Platform part
Miguel Angel G. · Reviewed about 2 years ago
got a lot of insight out of this lab.
Rajah C. · Reviewed about 2 years ago
Lalit R. · Reviewed about 2 years ago
The lab is ok, but the videos talk a lot without showing the meaning of the Tensorflow structures and how they relate in delivering a solution.
Lovemore N. · Reviewed about 2 years ago
Anantha Krishna R. · Reviewed about 2 years ago
Антон Р. · Reviewed about 2 years ago
No matter what I did, I got negative value for model prediction. The same was true when I executed the same notebook from the solutions dir
Damir H. · Reviewed about 2 years ago
Али О. · Reviewed about 2 years ago
Yasir A. · Reviewed about 2 years ago
Fatemeh A. · Reviewed about 2 years ago
Дамир Н. · Reviewed about 2 years ago
Gabriel V. · Reviewed about 2 years ago
Aiman H. · Reviewed about 2 years ago
Rodolfo G. · Reviewed about 2 years ago
A lot of these notebooks reference "how we did in the previous lab," but the order this course follows is clearly not the order the notebooks go in.
Andrew S. · Reviewed about 2 years ago
Омархалиева Н. · Reviewed about 2 years ago
Samuel M. · Reviewed about 2 years ago
Даниил К. · Reviewed about 2 years ago
Wahaj S. · Reviewed about 2 years ago
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