MACHINE LEARNING

Detailed explanation-1: -Backpropagation is the most common training algorithm for neural networks. It makes gradient descent feasible for multi-layer neural networks.

Detailed explanation-2: -One of the most popular types of deep neural networks is known as convolutional neural networks (CNN or ConvNet). A CNN convolves learned features with input data, and uses 2D convolutional layers, making this architecture well suited to processing 2D data, such as images.

Detailed explanation-3: -What is Deep Learning? Deep learning uses artificial neural networks to perform sophisticated computations on large amounts of data. It is a type of machine learning that works based on the structure and function of the human brain. Deep learning algorithms train machines by learning from examples.