Question

Briefly describe how the dropout technique results in a form of model averaging. Explain the effect of adding more training data while also using dropout. Use mathematical explanations wherever necessary.

Name: briefly describe how the dropout technique results in a form of model averaging explain the effect of adding more training data while also using dropout use mathematical explanations whereve 60636
Uploaded: 2020-04-17T13:52:06-08:00
Duration: 41 s
Channel: Vishal Parmar
Description: briefly describe how the dropout technique results in a form of model averaging explain the effect of adding more training data while also using dropout use mathematical explanations whereve 60636

          Briefly describe how the dropout technique results in a form of model averaging. Explain
the effect of adding more training data while also using dropout. Use mathematical explanations
wherever necessary.

Added by Jeffrey S.

Computer Science and Information Technology

Trishna Knowledge Systems 2018 Edition

Instant Answer

Solved by Expert Vishal Parmar

04/17/2020

Step 1

It works by randomly setting a fraction of the input units to 0 at each update during training, which helps to prevent overfitting. The key idea is that by dropping out different sets of neurons during each training iteration, the model effectively trains a large Show more…

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Briefly describe how the dropout technique results in a form of model averaging. Explain the effect of adding more training data while also using dropout. Use mathematical explanations wherever necessary.