Build a DNN using the Keras Functional API Reviews

Акбота К. · Reviewed over 2 years ago

Nisha K. · Reviewed over 2 years ago

SANJAY B. · Reviewed over 2 years ago

Sajid G. · Reviewed over 2 years ago

Oleksandr K. · Reviewed over 2 years ago

Arturo V. · Reviewed over 2 years ago

Rahul B. · Reviewed over 2 years ago

Frank M. · Reviewed over 2 years ago

Alan E. · Reviewed over 2 years ago

Ajit P. · Reviewed over 2 years ago

Сулейменов Т. · Reviewed over 2 years ago

Xiang B. · Reviewed over 2 years ago

Rahul M. · Reviewed over 2 years ago

thanks 1 hour and 21 mins

Robert H. · Reviewed over 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 over 2 years ago

Rodrigo A. · Reviewed over 2 years ago

RAFI S. · Reviewed over 2 years ago

Jakub S. · Reviewed over 2 years ago

Gerardo T. · Reviewed over 2 years ago

Elnury D. · Reviewed over 2 years ago

Dan T. · Reviewed over 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 over 2 years ago

The notbooks doesnt cover the Deploy and predict with the model using Cloud AI Platform part

Miguel Angel G. · Reviewed over 2 years ago

got a lot of insight out of this lab.

Rajah C. · Reviewed over 2 years ago

Lalit R. · Reviewed over 2 years ago