In Backpropagation, which claim is true? O Backpropagation is a necessary step before updating the weights of a neural model using SGD. O Forward-pass uses the information preserved in backward-pass to calculate gradients O Backward-pass uses the information preserved in forward-pass to calculate gradients O Backpropagation is also used for testing neural models.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
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In Backpropagation, which claim is true?
O Backpropagation is a necessary step before updating the weights of a neural model using SGD.
Forward-pass uses the information preserved in backward-pass to calculate gradients
Backward-pass uses the information preserved in forward-pass to calculate gradients
O Backpropagation is also used for testing neural models.
Transcribed Image Text:In Backpropagation, which claim is true? O Backpropagation is a necessary step before updating the weights of a neural model using SGD. Forward-pass uses the information preserved in backward-pass to calculate gradients Backward-pass uses the information preserved in forward-pass to calculate gradients O Backpropagation is also used for testing neural models.
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