Deep Learning - Convolutional Neural Networks with TensorFlow - Text Classification with CNNs

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Computers
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11th - 12th Grade
•
Hard
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7 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the main purpose of the notebook discussed in the lecture?
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
Describe the process of text preprocessing mentioned in the lecture.
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
What are the key differences between the CNN and RNN scripts as mentioned?
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4.
OPEN ENDED QUESTION
3 mins • 1 pt
Explain how the model is compiled and trained according to the lecture.
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5.
OPEN ENDED QUESTION
3 mins • 1 pt
What accuracy results were achieved during the training of the model?
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6.
OPEN ENDED QUESTION
3 mins • 1 pt
What exercise does the lecturer suggest to understand model misclassifications?
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7.
OPEN ENDED QUESTION
3 mins • 1 pt
How does the lecturer suggest handling the samples that are misclassified?
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