, Software 1.0 is the classical software, where the programmer writes the code, but in the case of Software 2.0, another software finds it based on big data. But how can a software write another software?is the name of the magic that is used by most machine learning systems. To understand it, let’s imagine a machine learning system. It’s a black box with inputs and outputs.
I promised to talk about programs writing programs, and now I’m talking about mathematical expression. But in fact, programs are mathematical expressions. CPUs are built from logic gates. They use the binary representation of numbers and logic operators. Machine learning systems use real numbers and operators instead of binary numbers and operators, but basically, these mathematical expressions are also “programs.”about “B-type unorganized machines.” These machines are built from interconnected logical NAND gates and can be trained by enabling/disabling the wires between the nodes. In binary algebra, NAND is a universal operator, because every other operator can be expressed by it.
Unfortunately, Turing never published the paper, this is why we do not know him as an inventor of early neural networks. The problem with these B-type networks is that they cannot be trained efficiently.
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