MMdnn provides a universal converter that translates deep learning models between frameworks such as Caffe, Keras, MXNet, TensorFlow, CNTK, PyTorch, ONNX, and CoreML. It generates code snippets to simplify retraining or inference after conversion, includes a model visualizer for displaying network architectures, and offers deployment guidelines for Android, TensorFlow Serving, and TensorRT acceleration.