MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -A neural network is a network of artificial neurons programmed in software. It tries to simulate the human brain, so it has many layers of “neurons” just like the neurons in our brain. The first layer of neurons will receive inputs like images, video, sound, text, etc.

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. Their name and structure are inspired by the human brain, mimicking the way that biological neurons signal to one another.

Detailed explanation-3: -A neural network is a simplified model of the way the human brain processes information. It works by simulating a large number of interconnected processing units that resemble abstract versions of neurons. The processing units are arranged in layers.

Detailed explanation-4: -In the same way, artificial neural network consists of simple computing units “artificial neurons, ” and each unit is connected to the other units via weight connectors; then, these units calculate the weighted sum of the coming inputs and find out the output using squashing function or activation function.