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This article provides a comparison analysis guide for developers to choose the right deep learning framework for their AI projects. It compares TensorFlow, PyTorch, Keras, Caffe, and the Microsoft cognitive toolkit in terms of speed, open-source contributions, and other features. It also provides an overview of the advantages and challenges of each framework, as well as use cases and noteworthy projects.