
ImageNet Classification with Deep CNN
Authored by FSEAI AI
Computers
University
10 Questions
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1.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Who is the primary author of the paper "ImageNet Classification with Deep Convolutional Neural Networks"
Ilya Sutskever
Alex Krizhevsky
Yann LeCun
Geoffrey Hinton
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Which activation function did the AlexNet architecture use?
3.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Choose the max pooling configuration used in the AlexNet architecture.
4.
MULTIPLE SELECT QUESTION
1 min • 1 pt
AlexNet uses a technique for reducing complex co-adaptation of neurons. Which of the following do they correspond to?
50% of all activations of the network were set to zero and also did not participate in backpropagation
Local response normalization
Combining prediction of different models
Dropout of 0.5
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
What type of neural network does AlextNet use?
Feedforward Neural Network
Perceptron
Convolutional Neural Network
Long Short Term Memory
6.
MULTIPLE SELECT QUESTION
1 min • 1 pt
What approaches of data augmentation did AlexNet opt?
Adding random crops of images, their rotations and flips in training
Light conditioning
Test time augmentation by prediction on corner and center patches of image
PCA color augmentation
7.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
On what did the AlextNet train on?
CPU
1 GPU
2 GPU
3 GPU
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