DeepLearning classifier, LSTM, YOLO detector, Variational AutoEncoder, GAN – are these guys truly architectures in sense meta-programs or just wise implementations of ideas on how to solve particular optimization problems? Are machine learning engineers actually developers of decision systems or just operators of GPU-enabled computers with a predefined parameterized optimization program?
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