FAQ: Hyperparameter Tuning - Using a validation set for hyperparameter tuning

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This community-built FAQ covers the “Using a validation set for hyperparameter tuning” exercise from the lesson “Hyperparameter Tuning”.

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This exercise can be found in the following Codecademy content:

Build Deep Learning Models with TensorFlow

FAQs on the exercise Using a validation set for hyperparameter tuning

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How do I predict my own data? Thanks you:)

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Just as a heads-up for anyone else having this issue, the code is expecting verbatim formatting. For example, while the following code runs perfectly fine
model.fit(
features_train,
labels_train,
epochs=40,
batch_size=8,
verbose=1,
validation_split=0.33
)
to progress to the next lesson, you must EXACTLY use the code formatted as below, spaces and all
model.fit(features_train, labels_train, epochs = 40, batch_size = 8, verbose = 1, validation_split = 0.33)

1 Like
4

I also encountered the same problem that craglin reported here.

Codecademy, please can you improve your code parsing to accept answers that are functionally correct in python even when they don’t match the order your check currently expects.