Build a DNN using the Keras Functional API Reviews

thanks 1 hour and 21 mins

Robert H. · Reviewed about 2 years ago

I think the notebook neural_network.ipynb was not complete, there was nothing after the inference of the trained model.

Nico F. · Reviewed about 2 years ago

Rodrigo A. · Reviewed about 2 years ago

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