Assertion: neural network's architecture | /r/CapableOf | overcome this limitation
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Source sentences:
text: While training extremely deep (e.g., 1 million layers) neural networks might not be practical, CPU-like architectures such as pointer networks and neural random-access machines overcome this limitation by using external random-access memory and other components that typically belong to a computer architecture such as registers, ALU and pointers.