Inspiration: “Using the human brain as a source of inspiration, artificial neural networks (NNs) are massively parallel distributed networks that have the ability to learn and generalize from examples.” [1]
Each NN is composed of neurons, and their organization defines their architecture. The width and depth of NNs define their architecture; this is where “deep learning” originated — by having deep NNs. In the natural language processing (NLP) realm, the GPT-4 architecture is receiving much attention. For computer vision (CV), I’ve always been a fan of the GoogleNet architecture.
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