Abstract and keywords
Abstract (English):
Interactions occurring within a neural network evade rational explanation based on cause-and-effect relationships. The author proposes to appeal to pre-modern cognitive practices, to reception of ideas of Renaissant scholarship that will help to see paradigm shifts in the culture of deep learning of neural networks by virtue of establishing a homology (structural similarity) between the work of the neural network and alchemy. In the digital age, neo-alchemy operates with “digital matter” (something that can be stored in computer memory), and deep learning of neural networks can be (homologically to alchemy) defined as the transformation of “digital matter” based on non-causal connections.

Keywords:
neural network, neo-alchemy, deep learning, digital matter
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References

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