9. Deep Learning and Variants_Lecture 7_20240211Convolutional Neural Networks: Multi-Channel Input Quiz

What is one of the key characteristics of the visual system's image building process?

Hierarchical feature development

In the context of computer vision, what does ILSVRC stand for?

ImageNet Large-Scale Visual Recognition Challenge

What was the machine error rate for ILSVRC in 2011?

~30%

Which neural network model won the ILSVRC in 2015 with an error rate of 3.6%?

Microsoft ResNet Signup and view all the answers

What is the primary action of a convolution layer in neural networks?

Parameter sharing within the network Signup and view all the answers

How are feature maps created in convolutional neural networks?

By applying a kernel to specific regions of the input image Signup and view all the answers

What is the purpose of convolution in deep learning?

To extract features from images Signup and view all the answers

What type of input is sent to the convolution layer?

Extracted features from the images Signup and view all the answers

In a 3-layer convolution, what is the result of multiplying and summing the values?

13 Signup and view all the answers

What is produced by sliding a filter over the width and height of the input volume?

2-dimensional activation map Signup and view all the answers

How many filters are there in each CONV layer, according to the text?

6 filters Signup and view all the answers

What does the network learn filters for, as mentioned in the text?

Visual features such as edges or colors Signup and view all the answers

What is the output dimension of a 3D convolution as mentioned in the text?

2D output Signup and view all the answers

What is stacked along the depth dimension to produce the output volume?

Activation maps Signup and view all the answers

What is the purpose of the pooling operation in convolutional neural networks?

To enhance local translational invariance Signup and view all the answers

What is the role of the max-pooling layer in a convolutional neural network?

To reduce the spatial dimensions of the feature maps Signup and view all the answers

In convolutional neural networks, how does the pooling operation contribute to dimensionality reduction?

By reducing the size of each feature map while retaining important information Signup and view all the answers

What is the purpose of applying convolutional operations at different locations with some overlap in convolutional neural networks?

To capture spatial hierarchies and local patterns in the data Signup and view all the answers

How does the concept of local translational invariance benefit convolutional neural networks?

It allows networks to generalize well to translations in input data Signup and view all the answers

What role do filters/kernels play in convolutional neural networks?

Extracting features from the input using weighted operations Signup and view all the answers

How does max-pooling contribute to reducing overfitting in convolutional neural networks?

By reducing spatial dimensions and preventing co-adaptation of features Signup and view all the answers

What did Hubel and Wiesel discover in their experiments involving a cat's primary visual cortex?

Neurons firing rapidly when presented with lines at one angle Signup and view all the answers

What term did Hubel and Wiesel use to describe neurons that responded best to lines of a certain angle?

Simple cells Signup and view all the answers

How did Hubel and Wiesel differentiate between 'simple cells' and 'complex cells' in their experiments?

'Simple cells' responded best to lines at one angle, while 'complex cells' responded to moving lines at another angle. Signup and view all the answers

In the context of the Hubel and Wiesel experiments, what did the term 'feature extraction' primarily refer to?

Extracting features from images through hand-engineered filters Signup and view all the answers

How did the limitations of traditional vision approaches differ from the scientific findings of Hubel and Wiesel?

Traditional vision required explicit feature engineering, unlike the brain's handling as observed by Hubel and Wiesel. Signup and view all the answers

What was one significant outcome of the Hubel and Wiesel experiments?

They won a Nobel Prize in 1981 for expanding scientific knowledge on sensory processing. Signup and view all the answers

How did the brain's natural processing differ from the hand-engineered filters used in traditional vision approaches?

Hand-engineered filters focused on feature extraction, which was not observed in the brain's natural handling. Signup and view all the answers

What is the size of the feature map in the Convolution2D operation in Artificial Neural Networks (ANN)?

3x3 Signup and view all the answers

In Convolution2D, what is the size of the convolution window used?

3x3 Signup and view all the answers

What does the text mention about the weights in Convolution2D operation?

Weights are shared Signup and view all the answers

In which operation do we consider nodes to be locally connected according to the text?

Convolution2D operation Signup and view all the answers

What is a key difference mentioned regarding the input handling between CNN and dense layer processing?

CNN extracts features from images before sending to dense layer Signup and view all the answers

What type of learning is associated with Convolutional Neural Networks (CNN) according to the text?

Supervised learning Signup and view all the answers

What is a characteristic of filters/weights in the context of Convolution2D operation?

Most weights are constrained to be zero (regularization) Signup and view all the answers

What is the dimension of the input handled by Convolution2D operation in ANN?

(5,5) Signup and view all the answers

What operation involves sending extracted features from images, according to the content?

CNN processing with feature extraction step Signup and view all the answers

What kind of connections do we consider for nodes in Convolution2D operation?

Locally connected nodes Signup and view all the answers