Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Introduction to Gradient Desce

Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Introduction to Gradient Desce

Assessment

Interactive Video

Information Technology (IT), Architecture, Physics, Science

University

Hard

Created by

Wayground Content

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3 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the significance of the forward pass in the training process of recurrent neural networks?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

In what ways can the performance of a recurrent neural network be evaluated during training?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

How does the concept of time affect the structure of recurrent neural networks?

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