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Prof. Chris Bishop's NEW Deep Learning Textbook!

Machine Learning Street Talk (MLST)

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Expanding Capabilities of Neural Networks

The evolution in AI has shown the convergence of connectionist and symbolic approaches. Initially, there was a debate on combining these approaches but with advancements like GPT4, neural networks have displayed the ability to reason at a symbolic level. The human brain, like neural networks, does not have separate components for different types of reasoning; it can perform various forms of reasoning. The focus has shifted towards expanding the capabilities of neural nets rather than integrating symbolic reasoning with connectionism.

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