Practice Deep Learning - 1.2.3 | 1. Introduction to Advanced Data Science | Data Science Advance
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Knowledge

1.2.3 - Deep Learning

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is a neural network?

💡 Hint: Think of how your brain works with connections.

Question 2

Easy

Name one application of deep learning.

💡 Hint: Where do you see deep learning in daily life?

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What does 'deep learning' primarily enable?

  • a) Solving linear equations
  • b) Processing unstructured data
  • c) Arithmetic operations

💡 Hint: Think about image recognition tasks.

Question 2

Is an LSTM a type of RNN?

  • True
  • False

💡 Hint: Remember what makes them unique.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a basic architecture for a CNN to classify images from the CIFAR-10 dataset. Explain each layer's function.

💡 Hint: Think about processing steps for images.

Question 2

Compare LSTMs and standard RNNs in terms of handling sequences. What advantages do LSTMs provide?

💡 Hint: Consider memory and sequence length.

Challenge and get performance evaluation