Practice Forward Propagation - 8.2.2 | 8. Deep Learning and Neural Networks | Data Science Advance
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is forward propagation?

πŸ’‘ Hint: Consider the flow of data through the layers.

Question 2

Easy

Name an activation function.

πŸ’‘ Hint: Think about functions that introduce non-linearity.

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 forward propagation do in a neural network?

  • A. It trains the model
  • B. It propagates input data through the network to produce an output
  • C. It evaluates model performance

πŸ’‘ Hint: Remember the flow of input to output.

Question 2

True or False: Activation functions are used to make the outputs linear.

  • True
  • False

πŸ’‘ Hint: Consider the purpose of activation functions.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a simple neural network with two hidden layers. Describe how forward propagation occurs with an example input and weights.

πŸ’‘ Hint: Focus on how each layer transforms the data.

Question 2

Compare and contrast the use of Sigmoid and ReLU in forward propagation. Under what circumstances would you choose one over the other?

πŸ’‘ Hint: Consider the architectural implications of selecting activation functions.

Challenge and get performance evaluation