Data Science Lecture 6: Understanding Convolutional Neural Networks (CNN)

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

Speech recognition

Natural language processing

Tabular data analysis

Object detection in images (correct)

Why are Convolutional Neural Networks (CNNs) used instead of Feed-Forward Neural Nets for image data?

Feed-Forward Neural Nets are more accurate

Feed-Forward Neural Nets cannot handle pixel values

CNNs require less computational resources

CNNs can assign importance to various aspects/objects in the image (correct)

What is the primary aim of Computer Vision?

Replicating human vision and understanding of surroundings (correct)

Recognizing handwriting

Processing tabular data efficiently

Understanding human speech

In which field of application are Convolutional Neural Networks (CNNs) influential?

Computer Vision Signup and view all the answers

What type of data is specifically dealt with by Convolutional Neural Networks (CNNs)?

Image and video data Signup and view all the answers

What is the purpose of applying Convolutional Neural Networks (CNNs) to visual data?

Object detection and classification Signup and view all the answers

What is the benefit of using CNNs over Feed-Forward Neural Nets for image data?

CNNs can efficiently scale for image data without increasing complexity Signup and view all the answers

Why were computers before GPUs unable to process large amounts of image data within a reasonable time?

Due to the high computational and memory requirements Signup and view all the answers

How do convolutional neural networks process images as opposed to feedforward neural networks?

CNNs look at one patch of an image at a time and move forward to derive complete information Signup and view all the answers

In which application can CNNs be useful for identifying unique facial features and comparing collected data with existing records?

Facial recognition Signup and view all the answers

What is one valuable application of CNNs in medical imaging?

Better accuracy in identifying tumors or anomalies in X-ray and MRI images Signup and view all the answers

How does CNN benefit document analysis?

By identifying words and phrases associated with the subject of a given document Signup and view all the answers

What was a limitation of computers before GPUs in processing large amounts of image data?

High computational and memory requirements Signup and view all the answers

How does CNN handle image data complexity compared to Feed-Forward Neural Nets?

CNNs scale for image data without increasing complexity Signup and view all the answers

Data Science Lecture 6: Understanding Convolutional Neural Networks (CNN)

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