: Multiple layers within a network extract increasingly complex information, moving from simple shapes to intricate objects.
: These features allow AI models to surpass traditional algorithms in fields like computer vision and natural language processing. : Multiple layers within a network extract increasingly
Unlike traditional "handcrafted" features designed by experts, are representations automatically learned by Deep Neural Networks (DNNs) directly from raw data. without manual intervention.
: Networks learn to identify significant patterns, such as edges or textures in images, without manual intervention. : Multiple layers within a network extract increasingly