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| deep learning stack | набор технологий машинного обучения (a collection of software tools, frameworks, and libraries that are used to build and deploy deep learning models. It typically includes tools for data pre-processing, model training, and model deployment: e.g., TensorFlow, PyTorch, Keras, Caffe, and MXNet  openai.com Alex_Odeychuk) |