Getting Started with Machine Learning in JavaScript: Beginner Quiz — Questions & Answers

This quiz contains 10 questions. Below is a complete reference of all questions, answer choices, and correct answers. You can use this section to review after taking the interactive quiz above.

1. Question 1: Benefit of Browser-Based ML

   Which benefit of a JavaScript machine learning library allows models to run directly in the browser with interactive updates?

   • Real-time training in the browser
   • Requires server-only execution
   • Needs a native desktop app
   • Only works offline with batches
   • Disables GPU acceleration
   Show correct answer

   Correct answer: Real-time training in the browser

2. Question 2: Including a Library in the Browser

   What HTML element would you use to include a JavaScript machine learning library from a CDN in a web page?

   • <script src='...'></script>
   • <link rel='ml' href='...'>
   • <style src='...'></style>
   • <import href='...'>
   • <module src='...'></module>
   Show correct answer

   Correct answer: <script src='...'></script>

3. Question 3: Installing for Server-Side JS

   Which environment typically uses npm to install packages for server-side JavaScript machine learning tasks?

   • A server-side JavaScript runtime (using npm)
   • A CSS preprocessor
   • A SQL database
   • A browser extension manifest
   • A Java virtual machine
   Show correct answer

   Correct answer: A server-side JavaScript runtime (using npm)

4. Question 4: Meaning of Sequential Model

   In a simple sequential model used for machine learning in JavaScript, what does 'sequential' describe?

   • A linear stack of layers
   • A cyclic graph network
   • A collection of unrelated functions
   • A database query plan
   • A sorted dataset
   Show correct answer

   Correct answer: A linear stack of layers

5. Question 5: Dense Layer Input Shape

   If you create a dense layer to accept one numeric feature per example, what inputShape should you set?

   • [1]
   • [1, 1, 1]
   • [0]
   • [2]
   • ['1']
   Show correct answer

   Correct answer: [1]

6. Question 6: Optimizer Used in Example

   Which optimizer is used in the compilation step of the example to train the model predicting y from x?

   • sgd
   • adam
   • rmsprop
   • random-step
   • gradient-ascent
   Show correct answer

   Correct answer: sgd

7. Question 7: Loss for Regression

   For a simple regression task predicting numbers (for example, y = 2x - 1), which loss function is appropriate in the example?

   • meanSquaredError
   • categoricalCrossentropy
   • binaryAccuracy
   • hinge
   • meanSquareError
   Show correct answer

   Correct answer: meanSquaredError

8. Question 8: Tensor Shape for Inputs

   When preparing five input values [0, 1, 2, 3, 4] as a 2D tensor with one feature each, what shape should you use?

   • [5, 1]
   • [1, 5]
   • [5]
   • [1, 1, 5]
   • [0, 5]
   Show correct answer

   Correct answer: [5, 1]

9. Question 9: Evaluate Linear Function

   Using the function y = 2x - 1 from the example, what is the correct output when x = 3?

   • 5
   • 7
   • 6
   • -5
   • 2
   Show correct answer

   Correct answer: 5

10. Question 10: Browser Acceleration

    Which browser technology is commonly used by JavaScript machine learning libraries to speed up computations using the GPU?

    • WebGL
    • WebSQL
    • WebMail
    • Service Workers
    • WebRTC
    Show correct answer

    Correct answer: WebGL