Deep learning is a type of machine learning that uses artificial neural networks to recognize patterns in large amounts of data.
It works similarly to how the human brain processes information, with layers of interconnected ‘neurons’.
These networks have three main layers:
Deep learning models learn by analyzing labeled data, adjusting connections between neurons to reduce mistakes and improve accuracy.
This approach differs from traditional machine learning, where programmers had to define specific characteristics and features, often resulting in complex algorithms.
An added benefit of deep learning is its ability to analyse the whole data at once, allowing the system to use more context and better understand patterns, allowing detection of certain defects in images with greater accuracy.