Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.
Fun, engaging games to boost memory, math fluency, typing speed, and English skillsβperfect for learners of all ages.
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a filter in a CNN?
π‘ Hint: Think of it as a template for looking at data.
Question 2
Easy
What does pooling do in a CNN?
π‘ Hint: It helps in summarizing the information.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the primary purpose of convolutional layers in a CNN?
π‘ Hint: Think about what CNNs do for image understanding.
Question 2
True or False: Batch normalization is used to increase the learning rate during CNN training.
π‘ Hint: Consider stability vs. acceleration.
Solve and get performance evaluation
Push your limits with challenges.
Question 1
Design a CNN architecture for distinguishing different species of flowers from images, incorporating dropout and batch normalization.
π‘ Hint: Consider the diversity of features present in flower images.
Question 2
Analyze the impact of modifying the filter size from 3x3 to 5x5 in a convolutional layer. What are the potential advantages or disadvantages?
π‘ Hint: Think about how bigger tools can gather more but might overlook finer details.
Challenge and get performance evaluation