 |
| |||
deep learning stack (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) | |||