Deep Learning - Crash Course 2023 - TensorFlow - Subclassing Methods

Deep Learning - Crash Course 2023 - TensorFlow - Subclassing Methods

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video tutorial introduces the advanced method of creating deep learning models using the subclassing API in TensorFlow. It explains the concept, provides documentation insights, and demonstrates implementation with example code. The tutorial also discusses the challenges and advantages of using the subclassing API, highlighting its flexibility in network architecture but difficulty in debugging.

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4 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the role of the activation function in the dense layers of the model?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

How does the model handle multiple inputs and outputs as described in the text?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What challenges are faced when debugging a model built using subclassing API?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

What are the advantages and disadvantages of using subclassing API?

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