TensorFlow, PyTorch or MXNet? A comprehensive evaluation on NLP & CV tasks with Titan RTX | Synced

Thanks to the CUDA architecture [1] developed by NVIDIA, developers can exploit GPUs’ parallel computing power to perform general computation without extra efforts. Our objective is to evalua...

By · · 1 min read

Source: Synced | AI Technology & Industry Review

Thanks to the CUDA architecture [1] developed by NVIDIA, developers can exploit GPUs’ parallel computing power to perform general computation without extra efforts. Our objective is to evaluate the performance achieved by TensorFlow, PyTorch, and MXNet on Titan RTX.