Machine Learning, AI, Software Development, Data Science, Software Engineering.
hands dirty. No Silver Bullets in the Model Armory First things first: ditch the notion of a one-size-fits-all model. Each of these architectures comes with its own baggage, its own quirks and predilections. RNNs, with their looping mechanisms, excel at handling sequences, but they can get tripped