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WorksheetsDL4CV Pre-Training Assessment
Total questions: 10
Worksheet time: 5mins
Edge detection (the process of finding edges in an image) can be considered as part of any of the following tasks EXCEPT...
Image segmentation
Image filtering
Image enhancement
Feature extraction
The key aspect towards building a good representation for the set of bird images here is to ...
find invariances (common features) among the images
extract the color of the bird correctly
measure some statistical properties of these images
eliminate all views that are different from the majority view
Which of the following is NOT a popular Deep Learning architecture?
ResNet
Yolo
RetinaNet
TMNet
Which of the following is NOT an activation function used in deep learning architectures?
MinMax
Sigmoid
ReLu
Tanh
What happens during the back-propagation process in neural network optimization?
The information is propagated from the input layer to the output layer.
Weights are updated based on the errors propagated from the inferred output.
The error is calculated and subtracted from the preceding layer.
The output values are optimized to be closer to the actual answer.
What is the function of the pooling layer in a convolutional neural network (CNN)?
To group together relevant features in the image into a feature vector.
To reduce the representation of features into a more compact form.
To derive finer features that cover a larger scope of area.
To trim off the excess pixels involved in the convolution process.
To perform transfer learning in deep learning is to...
Allow the already-trained network to be adapted for other tasks.
Transfer more data into the deep learning network to continue the training process.
Pass the gradient of the neurons in the neural network to the next training iteration.
Transfer the information obtained at the end of the process to be deployed.
Which of the following is not a known strategy to optimize deep learning training more effectively?
Batch normalization
Regularization by dropout
Pre-training step
Early stopping
What does the region proposal step in standard object detection do?
Cuts out a sub-area of the image that is likely to contain many objects.
Find a pool of potential boxes that may contain objects.
Selects a region that corresponds to an object that is to be detected.
Automatically selects the background area in the image.
What does semantic segmentation do?
Label the foreground objects and the background of the image.
Label each individual and unique object in the image.
Label the image with multiple categories (labels).
Label each pixel in the image with a category label.
