MACHINE LEARNING

Detailed explanation-1: -Deep learning is a subfield of machine learning, and neural networks make up the backbone of deep learning algorithms. In fact, it is the number of node layers, or depth, of neural networks that distinguishes a single neural network from a deep learning algorithm, which must have more than three.

Detailed explanation-2: -Convolutional neural networks, recurrent neural networks, and deep neural networks are examples of algorithms used in machine learning.

Detailed explanation-3: -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-4: -Three following types of deep neural networks are popularly used today: Multi-Layer Perceptrons (MLP) Convolutional Neural Networks (CNN) Recurrent Neural Networks (RNN)