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Flashcard 7764694142220

Tags
#deep-learning #keras #lstm #python #sequence
Question
they found that [...] of the network was more important than the number of memory cells in a given layer to model skill
Answer
the depth

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they found that the depth of the network was more important than the number of memory cells in a given layer to model skill

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Flashcard 7764696763660

Tags
#tensorflow #tensorflow-certificate
Question
Classification evaluation methods

Accuracy

tf.keras.metrics.Accuracy()

sklearn.metrics.accuracy_score()

Not the best for [...] classes

Answer
imbalanced

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Classification evaluation methods Accuracy tf.keras.metrics.Accuracy() sklearn.metrics.accuracy_score() Not the best for imbalanced classes

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TfC_02_classification-PART_2
Classification evaluation methods Accuracy tf.keras.metrics.Accuracy() sklearn.metrics.accuracy_score() Not the best for imbalanced classes Precision For imbalanced class problems. Higher precision leads to less false positives. Recall Higher recall leads to less false negatives. Tradeoff between recall and precision. F1-sc