August 2017
Intermediate to advanced
288 pages
8h 6m
English
Content preview from R Deep Learning Cookbook
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
Start your free trial
Applying dropout to the first fully connected layer
In this recipe, let's apply dropout to the output of the fully connected layer to reduce the chance of overfitting. The dropout step involves removing some neurons randomly during the learning process.