Page 364 - AI Ver 3.0 class 10_Flipbook
P. 364

10.  What is the result of the process that highlights the important features detected by the kernels called?
                    a.   Feature map                                   b.  Weight map

                    c.   Edge map                                      d.  Colour map
                 11.  What does the Fully Connected Layer do in a CNN?

                    a.   It applies convolution operations
                    b.  It reduces the image size
                    c.   It classifies the image into specific labels
                    d.  It pools the features from the image

                 12.  What type of transformation is introduced by the ReLU function?
                    a.   Linear transformation                         b.  Non-linear transformation
                    c.   Logarithmic transformation                    d.  Exponential transformation


                                               SECTION B (Subjective Type Questions)

                 Short answer type questions.
                  1.  Why is data preparation important when using No-Code AI tools?
                  2.  How can a user fine-tune parameters in a No-Code AI platform?
                  3.  Explain how AI models are evaluated in No-Code platforms.
                  4.  What is Teachable Machine, and who developed it?
                  5.  List the types of data inputs that Teachable Machine can process.
                  6.  What is the main purpose of Orange Data Mining?
                  7.  What is an image feature in Computer Vision?
                  8.  Why are corners considered good features for image processing tasks?
                  9.  What is the role of the Convolution Layer in a Convolutional Neural Network (CNN)?
                 10.  What is the purpose of the Fully Connected Layer in a CNN?
                 11.  What is the difference between Max Pooling and Average Pooling in a CNN?
                 12.  Explain the concept of feature maps and their role in the Convolution Layer.



                                In Life                                      21 st  Century   #Critical Thinking
                                                                                     #Leadership & Responsibility
                                                                                 Skills

                 Imagine a camera that can recognise objects like a cat, dog, or tree in a photo. How does it manage this? Discuss
                 with your class how AI's ability to process image data could affect individuals and society.





                             Deep Thinking                                                21 st  Century   #Critical Thinking
                                                                                              Skills


                   In computer vision, the goal is to make computers understand and interpret images, just like how humans recognize
                   objects. Imagine you are developing a computer vision platform that uses a convolutional neural network (CNN)
                   to recognize objects in images. This platform requires huge amounts of image data to train effectively, sometimes
                   even terabytes of images. What happens if the data is flawed? Share your thoughts with the class.



                    362     Touchpad Artificial Intelligence (Ver. 3.0)-X
   359   360   361   362   363   364   365   366   367   368   369