Data Science Lecture 6: Convolutional Neural Networks (CNN)
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Questions and Answers

What is the main focus of Convolutional Neural Networks (CNN)?

  • Processing tabular data
  • Dealing with complexities of image data (correct)
  • Solving mathematical equations
  • Generating random numbers
  • Why are CNNs preferred over Feed-Forward Neural Networks for processing image data?

  • CNNs can only process images in grayscale
  • Feed-Forward Neural Nets have higher accuracy for image processing
  • CNNs assign importance to various aspects in the image and differentiate one from the other (correct)
  • Feed-Forward Neural Nets require less computational power
  • In the context of Convolutional Neural Networks, what does CNN stand for?

  • Central News Network
  • Computerized Numerical Notation
  • Critical Neural Network
  • Convolutional Neural Network (correct)
  • Which field of application is mentioned as one of the most influential for Convolutional Neural Networks?

    <p>Computer Vision</p> Signup and view all the answers

    What is the purpose of the Convolution Operation in CNNs?

    <p>To identify and extract features from the input image</p> Signup and view all the answers

    Why is image data considered very different from tabular data in the context of neural networks?

    <p>Image data contains spatial information and patterns</p> Signup and view all the answers

    What is the primary reason for flattening a 3x3 image matrix into a 9x1 vector before feeding it to a neural network?

    <p>To reduce the complexity and size of the input data</p> Signup and view all the answers

    What problem arises when passing a large input feature dimension to a neural network?

    <p>Increased computational and memory requirements</p> Signup and view all the answers

    In contrast to feedforward neural networks, how does a convolutional neural network (CNN) process image data?

    <p>By looking at one patch of an image at a time and moving forward to derive complete information</p> Signup and view all the answers

    What is the main benefit of using CNNs for facial recognition?

    <p>The ability to focus on each face despite external disturbances</p> Signup and view all the answers

    How do CNNs contribute to better accuracy in medical imaging?

    <p>By pinpointing anomalies in X-ray and MRI images based on previously processed similar images</p> Signup and view all the answers

    What significant impact do CNNs have on document analysis?

    <p>Improving handwriting analysis and recognizers</p> Signup and view all the answers

    In which field of application are CNNs valuable for identifying tumours or other anomalies?

    <p>Medical imaging</p> Signup and view all the answers

    How do CNN models analyze an image of a human body part, such as the lungs, in medical imaging?

    <p>By comparing it to an extensive database of similar images processed by CNN networks</p> Signup and view all the answers

    What is the key attribute of CNN layers that enables them to extract patterns in image data efficiently?

    <p>The use of small activation units following principles of linear algebra</p> Signup and view all the answers

    What advantage does CNN offer over Feed-Forward Neural Nets when processing image data?

    <p>The ability to scale for image data efficiently without increasing complexity</p> Signup and view all the answers

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