Which two actions should you perform?

You are a data scientist building a deep convolutional neural network (CNN) for image classification.

The CNN model you built shows signs of overfitting.

You need to reduce overfitting and converge the model to an optimal fit.

Which two actions should you perform? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
A . Reduce the amount of training data.
B . Add an additional dense layer with 64 input units
C . Add L1/L2 regularization.
D . Use training data augmentation
E . Add an additional dense layer with 512 input units.

Answer: A,C

Explanation:

Reference:

https://machinelearningmastery.com/how-to-reduce-overfitting-in-deep-learning-with-weight-regularization/

https://en.wikipedia.org/wiki/Convolutional_neural_network