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دسته بندی دوره ها

Tensorflow-Pytorch-TensorRT-ONNX-From Zero to Hero

سرفصل های دوره

Docker, Tensorflow, Pytorch, Onnx, TensorRT, model detection, model classification, model fine-tuning


1. Introduction
  • 1. Introduction
  • 2. Course Overview with Projects

  • 2. Onnx, TensorRT, Docker Overview
  • 1.1 docker.zip
  • 1. Onnx, TensorRT, Docker Tutorial (part 1)
  • 2. Onnx, TensorRT, Docker Tutorial (part 2)
  • 3. Onnx, TensorRT, Docker Tutorial (part 3)
  • 4. Onnx, TensorRT, Docker Tutorial (part 4)

  • 3. NVIDIA Drivers
  • 1. how to install nvidia drivers and set up
  • 2. Download Nvidia Driver (Part two)
  • 3. Verify Installation of Nvdia Driver and Nouveau Driver
  • 4. Verify Installation of Nvidia Driver (Part two)

  • 4. Nvidia Hardware and Software, Cuda programming API Levels
  • 1. Docker and Nvidia Stack (Part One)
  • 2. Docker and Nvidia Gpu Stack (Part two)
  • 3. Docker and Nvidia Gpu Stack (Part three)

  • 5. Docker Installation and Configuration
  • 1. Docker Images Installation and Configuration
  • 2. Docker SetUp and Configuration with Sudo on Local Machine
  • 3. Setup Docker Successfuly on your local Machine

  • 6. Installation of Docker Cuda Toolkit & Setup DockerFile
  • 1. Installing Docker Cuda Toolkit-Nvidia GPU
  • 2. Install, Configure,Validate Tensorflow-GPU Docker Image
  • 3. What is Docker and why we need to use Docker Server-Docker Commands Tutorial
  • 4. Configuration of Docker Working Directories and DockerFiles
  • 5.1 docker-compose.debug.zip
  • 5.2 docker-compose.zip
  • 5.3 dockerfile.zip
  • 5. Organization of Docker files with required packages installations (Part One)
  • 6. Organization of Docker files with required packages installations (Part Two)

  • 7. TensorRT & Onnx AI frameworks
  • 1. Driver , Kernel and Device Communication
  • 2. Deep Learning Frameworks
  • 3. Open Neural Network Exchange
  • 4. TensorRT - NVIDIA Inference
  • 5. TensorRT - NVIDIA Inference Floating Point Precision and AI Sectors
  • 6. Nvidia Software and Hardware Logic.html

  • 8. Resnet 18 with ONNX-TENSORRT
  • 1. Docker Configuration for Resnet 18
  • 2. Docker Configuration for Resnet 18 (Part 2)
  • 3. SetUp Visual Studio Code with Docker Container
  • 4. Resnet 18 with ONNX
  • 5. Resnet 18 Conversion from Onnx to TensorRT (Part 1)
  • 6. Resnet 18 Conversion from Onnx to TensorRT (Part 2)
  • 7. Resnet 18 Conversion from Onnx to TensorRT (Part 3)
  • 8. Resnet 18 Conversion from Onnx to TensorRT (Part 4)

  • 9. Resnet 18 TensorRT Inference
  • 1. TensorrT Inference (Part 1)
  • 2. TensorrT Inference 2
  • 3. TensorrT Inference 3
  • 4. TensorrT Inference 4
  • 5. TensorrT Inference 5
  • 6. TensorrT Inference 6
  • 7. TensorrT Inference 7
  • 8. TensorrT Inference-TtrtExec API 8

  • 10. YOLOV4 ONNX DNN
  • 1.1 state diagram.zip
  • 1. YOLOV4 ONNX DNN Inference (Part One)
  • 2. YOLOV4 ONNX DNN Inference (Part Two)
  • 3. YOLOV4 ONNX DNN Inference (Part Three)
  • 4. YOLOV4 ONNX DNN Inference (Part Four)
  • 5. YOLOV4 ONNX DNN Inference (Part Fifth)
  • 6.1 yolo image.zip
  • 6. YOLOV4 ONNX DNN Inference (Part Six)
  • 7. YOLOV4 ONNX DNN Inference (Part Seven)
  • 8. YOLOV4 ONNX DNN Inference (Part Eight)
  • 9. YOLOV4 ONNX DNN Inference (Part Nine)

  • 11. YOLOV4 ONNX DNN Video
  • 1.1 main demo
  • 1. Yolov4 Video Inference part 1
  • 2. Yolov4 Video Inference part 2
  • 3. Yolov4 Video Inference part 3
  • 4. Yolov4 Video Inference part 4

  • 12. YOLOv5 Onnx Inference - OpenCV
  • 1.1 yolov5 readme-onnx.zip
  • 1. SetUp Workign Directory of yolov5 (2)
  • 2. YOLOv5 Onnx Inference - OpenCV (Part 3)
  • 3. YOLOv5 Onnx Inference - OpenCV (Part 4)
  • 4. YOLOv5 Onnx Inference - OpenCV (Part 5)
  • 5. YOLOv5 Onnx Inference - OpenCV (Part 6)
  • 6. YOLOv5 Onnx Inference - OpenCV (Part 7)
  • 7. YOLOv5 Onnx Inference - OpenCV (Part 8)
  • 8. Yolov5 Onnx Inference (Part 9)
  • 9.1 yolov5 readme.zip
  • 9. Prepare Yolov5 For Inference ( Part 1)

  • 13. Yolov5 TensorRT Inference
  • 1.1 tensorrt-commands.zip
  • 1. TensorRT-yoloV5 Inference (Part 1)
  • 2. TensorRT-yoloV5 Inference (Part 2)
  • 3. TensorRT-yoloV5 Inference (Part 3)
  • 4. TensorRT-yoloV5 Inference (Part 4)
  • 5. TensorRT-yoloV5 Inference (Part 5)
  • 6. TensorRT-yoloV5 Inference (Part 6)
  • 7. TensorRT-yoloV5 Inference (Part 7)
  • 8. TensorRT-yoloV5 Inference (Part 8)
  • 9. TensorRT-yoloV5 Inference (Part 9)

  • 14. TensorRT Tutoruial Without Local GPU, only with Google Colab
  • 1.1 learner-optimize-tensorflow-models-for-deployment-with-tensorrt.zip
  • 1. TensorRT Tutorial On Google Colab
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