Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to TensorFlow: Introduction to TensorFlow

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Information Technology (IT), Architecture
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University
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Hard
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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the number of classes in the Caltech data set?
128
1024
512
256
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does the size of the Caltech data set compare to the Imagenet data set?
Caltech is twice the size of Imagenet
Caltech and Imagenet are the same size
Caltech is smaller than Imagenet
Caltech is larger than Imagenet
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the first step in training a CNN on the Caltech data set?
Report the validation accuracy
Split the data into validation and training sets
Add more convolutional layers
Upload data to Google Colab
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Where can you upload the data to run your CNN model?
Google Colab
IBM Cloud
Microsoft Azure
Amazon Web Services
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it recommended not to build a very deep CNN for CPU training?
It will be hard to train
It will require more data
It will be too expensive
It will not be accurate
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