Introduction
Deep learning is a branch of machine learning that deals with algorithms inspired by the structure and function of the brain. It is a subset of artificial intelligence that has been around for decades but has only recently gained popularity due to the increasing computing power and data availability.
Deep learning is important because it is the next frontier in machine learning. It promises to provide more accurate results than traditional machine learning methods, with less data and less human supervision.
In this post, we will explore deep learning in more depth and discuss its potential applications. We will also debunk some of the myths surrounding deep learning.
What is Deep Learning?
Deep learning is a branch of machine learning that uses multi-layered artificial neural networks for automated feature extraction and pattern recognition. It is based on the same learning principles biological neural networks use for knowledge representation, perceptual interpretation, and decision-making. Artificial neural networks take inputs, compute interactions within the networks, and produce outputs. The process is repeated layer-by-layer, allowing for more complex and accurate learning.
