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10min chapter
Generally AI - Season 2 - Episode 3: Surviving the AI Winter
The InfoQ Podcast
A Historical Journey Through Neural Networks
This chapter explores the evolution of artificial neural networks, tracing their development from early perceptrons to more complex multi-layered networks. It highlights significant advancements such as gradient descent and backpropagation in the 1980s, paving the way for breakthroughs in AI. Additionally, it discusses the fluctuations of AI progress through periods of stagnation, known as 'AI winters,' and reflects on the transformative impact of modern innovations in the field.
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