Page 231 - Ai_C10_Flipbook
P. 231
Exercise (Practical)
Solved Questions
SECTION A (Objective Type Questions)
uiz
Tick ( ) the correct option.
1. Neural Networks are a series of algorithms used to recognise ……….……................ in raw data.
a. Visible patterns b. Hidden patterns
c. Simple shapes d. Random noise
2. The Pooling Layer reduces the ……….……................ of the input image while retaining the important features.
a. Quality b. Dimensions
c. Colour depth d. Contrast
3. ……….……................ selects the maximum value of the current image view and helps preserve the maximum detected
features.
a. Average Pooling b. Mean Pooling
c. Max Pooling d. Min Pooling
4. ……….……................ helps make the model more robust to variations in the input image.
a. Rectified Linear Unit b. CNN
c. Convolution Layer d. Pooling
5. No-Code AI tools provide which type of interface?
a. Command-line interface b. Drag-and-drop visual interface
c. Text-based programming environment d. None of these
6. Teachable Machine is built on which JavaScript library?
a. TensorFlow.js b. Game development
c. Web development d. Hardware programming
7. In which layer are the final outputs of a CNN predicted?
a. Convolution Layer b. Rectified Linear Unit (ReLU) Layer
c. Pooling Layer d. Fully Connected Layer
8. What is the result of applying ReLU to the feature map?
a. All the feature map values are doubled
b. All negative values are turned to zero and positive values are kept unchanged
c. The feature map is resized
d. The image is sharpened
Computer Vision 229

