Artificial Intelligence

The ability of robots to simulate cognitive processes like learning, problem-solving, and pattern recognition is known as

The study of how computers and human (natural) language interact to allow machines to comprehend, interpret, and produce human language is known as

These artificial intelligence (AI) systems base their decisions on human expertise in a particular field by using knowledge-based architectures.

A method for assessing model performance that involves splitting the data into training and testing groups

The most basic type of neural network.

A subset of deep learning architectures created especially to handle structured grid data, such as pictures.

Their ability to retain a hidden state that records data from prior inputs is their key characteristic, which makes them perfect for language processing and time-series data processing.

They creates prediction models and algorithms to let robots learn from data.

It is the layer that lessen the dimensionality of the feature maps to preserve significant features and lower the computational cost of the network.

Layers that are fully connected link every neuron in the preceding layer to the subsequent layer, generating the ultimate result.