Designed for sequential data, these networks have connections that loop back on themselves, allowing them to maintain memory of previous inputs. This makes them ideal for tasks like language modeling and time series prediction. To be continued …
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Transformer Neural networks
Unlike traditional sequential architectures like RNNs, transformers process all inputs simultaneously, allowing for greater parallelization and efficiency. To be continued …