Wanna Share A Video Tutorial Series About Optimizing Tensorflow and Keras Model to TensorRT

Hi All,

After starting to try TensorRT optimization and I personally found difficulties here and there, so, I decide to make a video tutorial here how we can optimize deep learning model obtained using Keras and Tensorflow. I also demonstrate to optimize YOLOv3 for object detection. Hope it helps for those who begin trying TensorRT, and you don’t encounter similar difficulties as I experienced before.

  1. Optimizing Tensorflow to TensorRT:
    01 Optimizing Tensorflow Model Using TensorRT with 3.7x Faster Inference Time - YouTube

  2. Visualizing model graph before and after TensorRT optimization:
    02 Visualizing Deep Learning Graph Before and After TensorRT Optimization - YouTube

  3. Optimizing Keras model to TensorRT:
    03 Optimizing Keras Model to TensorRT - YouTube

  4. Optimizing YOLOv3:
    06 Optimizing YOLO version 3 Model using TensorRT with 1.5x Faster Inference Time - YouTube

  5. YOLOv3 sample result, before and after TensorRT optimization:
    07 Another YOLOv3 Detection Result (Native Tensorflow vs TensorRT optimized) - YouTube

Great job, thanks for sharing!
Idea for improvement: you can explain the meaning of create_inference_graph() parameters and recommend appropriate values on particular platform