Performing Basic Feature Engineering in Keras Reviews

chhaya s. · Reviewed 3 yıldan fazla ago

very difficult.

Steven S. · Reviewed 3 yıldan fazla ago

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Guilherme A. · Reviewed 3 yıldan fazla ago

Guilherme A. · Reviewed 3 yıldan fazla ago

Sometimes methods for loading in data is confusing.

Tiego T. · Reviewed 3 yıldan fazla ago

Xiaohui L. · Reviewed 3 yıldan fazla ago

Mojtaba G. · Reviewed 3 yıldan fazla ago

Finally got through the lab after a few attempts, the use of the min max function here, which relies on pandas functionality, is not intuitive. I would have preferred if we instead used a normalization layer which is native to tensorflow. Furthermore, setting random seeds so the work is reproducible/verifiable would be helpful in quantifying the model improvements and incorporating that in the notebook. The instructions for predictions on the test dataset weren't very clear to me. I think there's a missed opportunity here to do things like [(X, y)] = test_ds.take(1), model.predict(X), and likewise feature_layer(X) to help the student understand what's happening under the good. Thank you!

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