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.
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.