The correct answer is A. when you add more hidden layers and increase depth of neural network.
A neural network is a type of machine learning algorithm that is inspired by the human brain. It consists of a number of interconnected nodes, or neurons, that can learn to recognize patterns in data. The more hidden layers a neural network has, the more complex patterns it can learn to recognize.
Deep learning is a type of machine learning that uses neural networks with multiple hidden layers. Deep learning algorithms have been shown to be very effective at a variety of tasks, including image recognition, natural language processing, and speech recognition.
Option B is incorrect because the dimensionality of the data does not affect whether a neural network is a deep learning model. Option C is incorrect because the type of problem does not affect whether a neural network is a deep learning model. Option D is incorrect because the dimensionality of the data does not affect whether a neural network is a deep learning model.