You train a deep neural network and find that it suffers from vanishing gradients. Which of the following changes can help increase the average magnitude of gradients during training? (Select all that are correct.) Increasing the learning rate Replacing sigmoid activation function with ReLU Decreasing the coefficient A for weight decay None of these are correct Adding extra dense layers Adding layer normalization

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
Chapter1: Introduction
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You train a deep neural network and find that it suffers from vanishing gradients. Which
of the following changes can help increase the average magnitude of gradients during
training? (Select all that are correct.)
Increasing the learning rate
Replacing sigmoid activation function with RELU
Decreasing the coefficient A for weight decay
None of these are correct
O Adding extra dense layers
Adding layer normalization
Transcribed Image Text:You train a deep neural network and find that it suffers from vanishing gradients. Which of the following changes can help increase the average magnitude of gradients during training? (Select all that are correct.) Increasing the learning rate Replacing sigmoid activation function with RELU Decreasing the coefficient A for weight decay None of these are correct O Adding extra dense layers Adding layer normalization
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