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Backpropagation - The Most Fundamental Training Systems Algorithm in Modern Generative AI
This story was originally published on HackerNoon at: https://hackernoon.com/backpropagation-the-most-fundamental-training-systems-algorithm-in-modern-generative-ai.
A simple history and explanation of the significance, importance, and the almost infinite power of neural networks.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
You can also check exclusive content about #backpropagation, #universal-algorithm, #generative-ai, #machine-learning, #neural-networks, #dynamical-systems, #mathematical-background, #universal-approximators, and more.
This story was written by: @thomascherickal. Learn more about this writer by checking @thomascherickal's about page,
and for more stories, please visit hackernoon.com.
Why does AI have such unlimited potential? What does machine learning seem like it can do anything? Why are there no limits to what the human race can do with AI? The backpropagation algorithm - and this article - has all the answers, including a very clear explanation of the universal approximation theorem in neural networks systems theory.
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By HackerNoon
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This story was originally published on HackerNoon at: https://hackernoon.com/backpropagation-the-most-fundamental-training-systems-algorithm-in-modern-generative-ai.
A simple history and explanation of the significance, importance, and the almost infinite power of neural networks.
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning.
You can also check exclusive content about #backpropagation, #universal-algorithm, #generative-ai, #machine-learning, #neural-networks, #dynamical-systems, #mathematical-background, #universal-approximators, and more.
This story was written by: @thomascherickal. Learn more about this writer by checking @thomascherickal's about page,
and for more stories, please visit hackernoon.com.
Why does AI have such unlimited potential? What does machine learning seem like it can do anything? Why are there no limits to what the human race can do with AI? The backpropagation algorithm - and this article - has all the answers, including a very clear explanation of the universal approximation theorem in neural networks systems theory.