neural networks and deep learning coursera week 1 quiz answers

Quiz - Introduction to Deep Learning

1. Which of the following best describes the role of AI in the expression "an AI-powered society"?

  • Al helps to create a more efficient way of producing energy to power industries and personal devices.
  • Al is an essential ingredient in realizing tasks, in industry and in personal life.
  • Al controls the power grids for energy distribution, so all the power needed for industry

2. Which of the following play a major role to achieve a very high level of performance with Deep Learning algorithms?

  • Large models.
  • Better designed features to use.
  • Deep learning has resulted in significant improvements in important applications such as online advertising, speech recognition, and image recognition.
  • Large amounts of data.

3. Recall this diagram of iterating over different ML ideas. Which of the statements below are true? (Check all that apply.)

  • Better algorithms allow engineers to get more data and then produce better Deep Learning models.
  • Larger amounts of data allow researchers to try more ideas and then produce better algorithms in less time.
  • Better algorithms can speed up the iterative process by reducing the necessary computation time.
  • Improvements in the GPU/CPU hardware enable the discovery of better Deep Learning algorithms.

4. When experienced deep learning engineers work on a new problem, they can usually use insight from previous problems to train a good model on the first try, without needing to iterate multiple times through different models. True/False?

  • True
  • False

5. Which of the following depicts a Sigmoid activation function?

  • Figure 1:
  • Figure 2:
  • Figure 3:
  • Figure 4:

6. Images for cat recognition is an example of “structured” data, because it is represented as a structured array in a computer. True/False?

  • True
  • False

7. A dataset is composed of age and weight data for several people. This dataset is an example of "structured" data because it is represented as an array in a computer. True/False?

  • True
  • False

8. Why can an RNN (Recurrent Neural Network) be used to create English captions to French movies? Choose all that apply.

  • It can be trained as a supervised learning problem
  • The RNN is applicable since the input and output of the problem are sequences.
  • RNNs are much more powerful than a Convolutional neural Network (CNN)
  • The RNN requires a small number of examples.

9. In this diagram which we hand-drew in the lecture, what do the horizontal axis (x-axis) and vertical axis (y-axis) represent?

  • x-axis is the input to the algorithm
    y-axis is outputs.
  • x-axis is the performance of the algorithm
    y-axis (vertical axis) is the amount of data.
  • x-axis is the amount of data
    y-axis (vertical axis) is the performance of the algorithm.
  • x-axis is the amount of data
    y-axis is the size of the model you train.

10. Assuming the trends described in the figure are accurate. The performance of a NN depends only on the size of the NN. True/False?

  • True
  • False

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