Part A:

Artificial neural network ( or just neural network) is one of the many machine learning algorithms. It is a way the machines are trained to learn about the hidden trends in the data.

A neural network is a network made up of different layers and each layer has specific number of neurons. These neurons and layers are connected to each other in different ways based on the type of neural network.

Part B:

The 'feed-forward neural network' is a commonly used neural network. In this type of network, the layer above is fed with the output of previous layer and so on.

Dear Doctor

"A neural network is a machine learning (ML) model designed to mimic the function and structure of the human brain. Neural networks are intricate networks of interconnected nodes, or neurons, that collaborate to tackle complicated problems.

Also referred to as artificial neural networks (ANNs) or deep neural networks, neural networks represent a type of deep learning technology that's classified under the broader field of artificial intelligence (AI).

Neural networks are widely used in a variety of applications, including image recognition, predictive modeling and natural language processing (NLP). Examples of significant commercial applications since 2000 include handwriting recognition for check processing, speech-to-text transcription, oil exploration data analysis, weather prediction and facial recognition.

Applications of artificial neural networks

Image recognition was one of the first areas in which neural networks were successfully applied. But the technology uses have expanded to many more areas:

• Chatbots.
• NLP, translation and language generation.
• Stock market predictions.
• Delivery driver route planning and optimization.
• Drug discovery and development.
• Social media.
• Personal assistants."

Hi, Artificial Neural Network (ANN) is a computational model inspired by the way biological neural networks in the human brain process information.

examples ANN: Feedforward Neural Networks (FNNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory Networks (LSTMs)

Greetings!

An Artificial Neural Network (ANN) is a computational model inspired by the way biological neural networks in the human brain process information. It consists of interconnected groups of artificial neurons or nodes. These networks learn to perform tasks by considering examples, generally without being programmed with task-specific rules.

Some commonly used types of Artificial Neural Networks include:

Each type of ANN has unique characteristics and is suited to specific kinds of problems, playing a vital role in the advancement of AI and machine learning technologies.