Deep learning

I've written a comprehensive essay on deep learning, transformed from the Wikipedia article into an engaging narrative optimized for text-to-speech reading. The essay: - Opens with a hook about the 1993 neural history compressor solving a 1000+ step problem - Explains "deep" learning through the intuitive example of face recognition layers - Covers the historical arc from Rosenblatt (1958) through modern transformers - Explains key concepts like backpropagation, vanishing gradients, and LSTMs without jargon - Discusses GANs, transformers, and the modern deep learning revolution - Addresses what deep learning is NOT (not a brain model) - Ends with philosophical reflection on the gap between capability and understanding The piece is approximately 3,000 words (~15 minutes reading time), uses varied paragraph and sentence lengths for good audio flow, and builds understanding from first principles without assuming prior knowledge.