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.
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…