What is Deep Learning?
Deep learning, a subset of machine learning and artificial intelligence (AI), employs multi-layered artificial neural networks to analyze and process data. These networks mimic the structure of the human brain and learn from data similarly to humans. Deep learning is a subset of machine learning that uses neural networks with many layers (“deep” structures) to automatically learn complex patterns from large amounts of data. These systems mimic the way the human brain processes information - by adjusting internal parameters (called weights) through training to improve predictions or classifications over time.
How it Works
At its core, deep learning involves feeding input data through multiple layers of artificial neurons. Each layer transforms the data slightly - detecting features of increasing abstraction (for instance, from edges to shapes to faces in an image). The network’s output is compared to the desired result, and through a process called backpropagation, it adjusts itself to reduce error. This learning loop continues until the network reaches acceptable accuracy.
