June 2018
Intermediate to advanced
436 pages
10h 33m
English
Answer to question 1: The following hyperparameters are very important and must be tuned to achieve optimized results:
Now, for dropout, we can add dropout in each convolutional and dense layer and in case of overfitting, the model is specifically adjusted to the training dataset, so it will not be used for generalization. Therefore, although it performs well on the ...