Practice Weight - 10.5.1.2 | 10. Introduction to Neural Networks | CBSE Class 12th AI (Artificial Intelligence)
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What do weights in a neural network represent?

💡 Hint: Think about how changing an ingredient affects a recipe.

Question 2

Easy

What happens when weights are adjusted?

💡 Hint: Consider how volume adjustments affect sound.

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 do weights in a neural network primarily represent?

  • They are the output signals
  • They control input importance
  • They are activation thresholds

💡 Hint: Think of cooking - how spice impacts flavor.

Question 2

True or False: Weights can be visually interpreted in neural networks.

  • True
  • False

💡 Hint: Remember, interpretation is often hidden.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You are designing a neural network for predicting house prices. Describe how you would handle weight initialization and the effects of poorly initialized weights.

💡 Hint: Consider the beginner's aim - starting off balanced.

Question 2

Imagine you've trained a neural network but its predictions are consistently inaccurate. Outline steps to diagnose issues related to weights.

💡 Hint: Think about the weight's journey through each layer.

Challenge and get performance evaluation