A health care company is planning to use neural networks to classify their X-ray images into normal and abnormal classes. The labeled data is divided into a training set of 1,000 images and a test set of 200 images. The initial training of a neural network model with 50 hidden layers yielded 99% accuracy on the training set, but only 55% accuracy on the test set. What changes should the Specialist consider to solve this issue? (Choose three.)
A) Choose a higher number of layers
B) Choose a lower number of layers
C) Choose a smaller learning rate
D) Enable dropout
E) Include all the images from the test set in the training set
F) Enable early stopping

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The Answer of A health care company is planning to use neural networks to classify their X-ray images into normal and abnormal classes. The labeled data is divided into a training set of 1,000 images and a test set of 200 images. The initial training of a neural network model with 50 hidden layers yielded 99% accuracy on the training set, but only 55% accuracy on the test set. What changes should the Specialist consider to solve this issue? (Choose three.)
A) Choose a higher number of layers
B) Choose a lower number of layers
C) Choose a smaller learning rate
D) Enable dropout
E) Include all the images from the test set in the training set
F) Enable early stopping

A Health Care Company Is Planning to Use Neural Networks