Course 30 Deep Learning

Deep learning, a subset of machine learning, has become a revolutionary approach in artificial intelligence. It focuses on algorithms inspired by the structure and function of the human brain, utilizing artificial neural networks with many layers to analyze and model complex data. These models excel in tasks such as image and speech recognition, natural language processing, and even autonomous driving. With the increasing availability of large datasets and enhanced computational power, deep learning has achieved remarkable success across various industries, pushing the boundaries of what machines can learn and accomplish. This section explores the foundational concepts, architectures, and applications of deep learning alongside its challenges and future potential.

https://www.r-bloggers.com/2021/04/deep-neural-network-in-r/