(17th-April-2021)
• It is easiest to understand deep learning with some historical context. Rather than providing a detailed history of deep learning, we identify a few key trends:
• Deep learning has had a long and rich history, but has gone by many names reflecting different philosophical viewpoints, and has waxed and waned in popularity.
• Deep learning has become more useful as the amount of available training data has increased.
• Deep learning models have grown in size over time as computer infrastructure (both hardware and software) for deep learning has improved.
• Deep learning has solved increasingly complicated applications with increasing accuracy over time.
The high-level organization
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