2006
Geoffrey Hinton publishes "Learning Multiple Layers of Representation," which summarizes key breakthroughs in deep learning and outlines how multilayer neural networks can be trained more effectively.31 Hinton's work focuses on training networks with graduated connections to generate sensory data rather than simply classifying it. This approach represents a shift from traditional neural networks to what we now call deep learning, allowing machines to learn complex hierarchical representations of data.
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