I’m planning to use the Jetson Nano for speech recognition tasks and I want the fastest response as possible.
I’m comfortable using Pytorch, so I thought of converting a custom trained model to TensorRT using ONNX. But I learned that TensorFlow had TensorFlowLite and TensorFlow has TensorRT integrated. Which made me reconsider using Pytorch.
I learned TensorFlow when I first learned deep learning, so I think it wouldn’t be that hard to use TensorFlow.
Would TensorFlow be faster and would using TensorFlowLite be practical on a Jetson Nano?