Types of Neural Networks: ANNs vs. CNNs vs. RNNs vs. GNNs vs. Transformers
An Introduction to Types of Neural Networks At a high level, all neural network architectures build representations of input data as vectors/embeddings, which encode useful statistical and semantic information about the data. These latent or hidden representations can then be used for performing something useful, such as classifying an image or translating a sentence. The […]
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