Embedding Techniques and Graph Neural Networks
Luis discusses the use of embedding techniques to transform symbolic representations into vector spaces for efficient implementation in deep learning. He also highlights the connection between graph neural networks and relational databases, shedding light on better abstractions in AI research.In this clip
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Machine Learning Street Talk (MLST)
#54 Gary Marcus and Luis Lamb - Neurosymbolic models
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