关于“Build a DNN using the Keras Functional API”的评价
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关于“Build a DNN using the Keras Functional API”的评价

10572 条评价

done,

Nikhil T. · 已于 almost 2 years前审核

Aryan A. · 已于 almost 2 years前审核

Swaroop S. · 已于 almost 2 years前审核

Акбота К. · 已于 almost 2 years前审核

Nisha K. · 已于 almost 2 years前审核

SANJAY B. · 已于 almost 2 years前审核

Sajid G. · 已于 almost 2 years前审核

Oleksandr K. · 已于 almost 2 years前审核

Arturo V. · 已于 almost 2 years前审核

Rahul B. · 已于 almost 2 years前审核

Frank M. · 已于 almost 2 years前审核

Alan E. · 已于 almost 2 years前审核

Ajit P. · 已于 almost 2 years前审核

Сулейменов Т. · 已于 almost 2 years前审核

Xiang B. · 已于 almost 2 years前审核

Rahul M. · 已于 almost 2 years前审核

thanks 1 hour and 21 mins

Robert H. · 已于 almost 2 years前审核

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

Nico F. · 已于 almost 2 years前审核

Rodrigo A. · 已于 almost 2 years前审核

RAFI S. · 已于 almost 2 years前审核

Jakub S. · 已于 almost 2 years前审核

Gerardo T. · 已于 almost 2 years前审核

Elnury D. · 已于 almost 2 years前审核

Dan T. · 已于 almost 2 years前审核

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. · 已于 almost 2 years前审核

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