Updated Review Classification using Active Learning example for Keras v3 #1778
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lpizzinidev
commented
Feb 29, 2024
| @@ -281,15 +282,19 @@ def train_full_model(full_train_dataset, val_dataset, test_dataset): | |||
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| # We will save the best model at every epoch and load the best one for evaluation on the test set | |||
| # We will save the weights of the best model at every epoch and load the best ones for evaluation on the test set | |||
| checkpoint_file = "FullModelCheckpoint.weights.h5" | |||
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Saving weights because of this issue.
lpizzinidev
commented
Feb 29, 2024
| # Getting predictions from previously trained model | ||
| predictions = model.predict(test_dataset) | ||
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| # Generating labels from the output probabilities | ||
| rounded = tf.where(tf.greater(predictions, 0.5), 1, 0) |
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@fchollet ✋ Can you please review? |
fchollet
reviewed
Mar 30, 2024
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Updates the "Review Classification using Active Learning" example to support Keras v3.