Practice Deep Learning (1.2.3) - Introduction to Advanced Data Science

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9 questions

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6 sample questions

Question 1.
What is a neural network?
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Think of how your brain works with connections.
Question 2.
Name one application of deep learning.
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Where do you see deep learning in daily life?
3Question 3.
What does 'deep learning' primarily enable?
- a) Solving linear equations
- b) Processing unstructured data
- c) Arithmetic operations
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Think about image recognition tasks.
4Question 4.
Is an LSTM a type of RNN?
- True
- False
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Remember what makes them unique.
Question 5.
Design a basic architecture for a CNN to classify images from the CIFAR-10 dataset. Explain each layer's function.
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Think about processing steps for images.
Question 6.
Compare LSTMs and standard RNNs in terms of handling sequences. What advantages do LSTMs provide?
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Consider memory and sequence length.

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