What is Neural Networks?

Skill Level:

Neural Networks are a type of Machine Learning model inspired by the human brain. They are composed of interconnected nodes, or “neurons,” that process and transmit information. Neural Networks excel at complex pattern recognition tasks, making them valuable in solving problems such as image and speech recognition.

Other Definitions

Hyperparameters are parameters that are set before the training of an AI model. They control the behaviour and performance of the model, such as…
Supervised Learning is a Machine Learning approach where models are trained using labelled data, with both input and output pairs. By learning from the…
Clustering in AI refers to the process of grouping similar data points together based on their inherent characteristics or attributes. By identifying patterns or…
Variational Autoencoders are a type of generative model used in unsupervised learning. VAEs learn a low-dimensional representation of input data and can generate new…