Deep Learning CNN Convolutional Neural Networks with Python - Transfer Learning Activity
Interactive Video
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Information Technology (IT), Architecture
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University
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Practice Problem
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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 primary purpose of using TensorFlow Hub in the context of transfer learning?
To create new neural network architectures from scratch
To simplify the process of using pre-trained models
To enhance the speed of data preprocessing
To visualize data in real-time
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which model was specifically mentioned as being used for transfer learning in the video?
Inception
ResNet
MobileNet
VGG
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What should you explore in the TensorFlow Hub documentation according to the video?
Different types of data augmentation techniques
Other available CNN headless models
Ways to deploy models on mobile devices
Methods for optimizing model performance
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the optional task mentioned in the video?
Using TensorFlow Hub for data visualization
Implementing transfer learning using TensorFlow Hub
Implementing transfer learning without TensorFlow Hub
Creating a new CNN model from scratch
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which library might you use if you choose to implement transfer learning without TensorFlow Hub?
PyTorch
Scikit-learn
OpenCV
Keras applications
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