Your company built a TensorFlow neutral-network model with a large number of neurons and layers. The model fits well for the training data. However, when tested against new data, it performs poorly. What method can you employ to address this?
A) Threading
B) Serialization
C) Dropout Methods
D) Dimensionality Reduction

Question

Quizplus · Accepted Answer

Dropout methods help prevent overfitting in neural networks by randomly dropping units during training, which can improve the model's performance on new data.

Your Company Built a TensorFlow Neutral-Network Model with a Large