Deep Learning CNN Convolutional Neural Networks with Python - Transfer Learning Activity

Deep Learning CNN Convolutional Neural Networks with Python - Transfer Learning Activity

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video tutorial introduces Tensorflow Hub and its application in transfer learning, focusing on MobileNet. It guides viewers through downloading headless models and exploring Tensorflow Hub documentation. An optional activity encourages implementing transfer learning without Tensorflow Hub, possibly using Keras applications.

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5 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the main purpose of TensorFlow Hub?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

What model was specifically mentioned in relation to transfer learning?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What are headless models and how are they related to transfer learning?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the optional part of the activity mentioned in the text?

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5.

OPEN ENDED QUESTION

3 mins • 1 pt

How can one implement transfer learning without using TensorFlow Hub?

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OFF

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