Practice Input Layer (23.4.1) - Convolutional Neural Network (CNN) - CBSE 10 AI (Artificial Intelleigence)
Students

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

Input Layer

Practice - Input Layer

Enroll to start learning

You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does the input layer of a CNN do?

💡 Hint: Think about the first action of the CNN.

Question 2 Easy

What kind of data does a black-and-white image represent?

💡 Hint: Recall the structure of the matrix.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What type of matrix represents a black-and-white image?

1D Matrix
2D Matrix
3D Matrix

💡 Hint: What dimension do you associate with black-and-white images?

Question 2

True or False: The input layer of a CNN only takes in colored images.

True
False

💡 Hint: Consider whether only one type of image can be input into the layer.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a preprocessing strategy for a set of images that would enhance their input representation before being fed into a CNN.

💡 Hint: Focus on how you want the data to look for effective processing.

Challenge 2 Hard

Explain how the choice of image format (JPEG, PNG, etc.) affects the input layer processing.

💡 Hint: Consider how each format might change the pixel values you work with.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.