MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -Well an ANN that is made up of more than three layers – i.e. an input layer, an output layer and multiple hidden layers – is called a ‘deep neural network’, and this is what underpins deep learning.

Detailed explanation-2: -Neural networks, also known as artificial neural networks (ANNs) or simulated neural networks (SNNs), are a subset of machine learning and are at the heart of deep learning algorithms.

Detailed explanation-3: -What is ANN? Artificial Neural Networks are a special type of machine learning algorithms that are modeled after the human brain.

Detailed explanation-4: -As a summary, ANNs are very flexible yet powerful deep learning models. They are universal function approximators, meaning they can model any complex function.

Detailed explanation-5: -A deep neural network (DNN) is an artificial neural network (ANN) with multiple layers between the input and output layers. There are different types of neural networks but they always consist of the same components: neurons, synapses, weights, biases, and functions.