Deep learning frameworks such as TensorFlow, PyTorch, Caffe, Torch, Theano, and MXNet have contributed to the popularity of deep learning by reducing the effort and skills needed to design, train, and use deep learning models. Fabric for Deep Learning (FfDL, pronounced “fiddle”) provides a consistent way to run these deep-learning frameworks as a service on Kubernetes. When users leave Fabric for Deep Learning (FfDL) reviews, G2 also collects common questions about the day-to-day use of Fabric for Deep Learning (FfDL). These questions are then answered by our community of 850k professionals. Submit your question below and join in on the G2 Discussion.

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