Application tutorial of deep learning in image processing

Preface

• This tutorial is a summary of my research during the postgraduate period. At the same time, I hope to help more friends. Later, if you learn new knowledge, I will share it with everyone.
• This tutorial will be shared in the form of video. The teaching process is as follows: 1）Introduce the structure and innovation of the network 2）Use Pytorch for network construction and training 3）Use Tensorflow (the internal keras module) to build and train the network

Tutorial directory, click to jump to the corresponding video (will be added later according to the learning content)

• Image classification

  • LeNet（completed）

    • Pytorch official demo(Lenet)
    • Tensorflow2 official demo

  • AlexNet（completed）

    • AlexNet theory explanation
    • Pytorch builds AlexNet
    • Tensorflow2 builds Alexnet

  • VggNet（completed）

    • VggNet theory explanation
    • Pytorch builds VGG network
    • Tensorflow2 builds VGG network

  • GoogLeNet（completed）

    • GoogLeNet theory explanation
    • Pytorch builds GoogLeNet network
    • Tensorflow2 builds GoogLeNet network

  • ResNet（completed）

    • ResNet theory explanation
    • Pytorch builds ResNet network
    • Tensorflow2 builds ResNet network

  • MobileNet（completed）

    • MobileNet theory explanation
    • Pytorch builds MobileNetV2 network
    • Tensorflow2 builds MobileNetV2 network

  • ShuffleNet (preparing)

• Target detection

  • Faster-RCNN/FPN（processing）

    • Faster-RCNN theory explanation
    • Faster-RCNN source code analysis(Pytorch)

  • SSD/RetinaNet (processing)

    • SSD theory explanation
    • SSD source code analysis(Pytorch)

  • YOLOv3 SPP (processing)

    • YOLO series theory explanation
    • YOLOv3 SPP source code analysis(Pytorch version)

• Target segmentation

For more related videos, please enter my bilibili channel to view

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Required environment

• Anaconda3（Recommended to use）
• python3.6 / 3.7
• pycharm (IDE)
• pytorch 1.6 (pip package)
• torchvision 0.7.0 (pip package)
• tensorflow 2.2 (pip package)

Problems you may encounter

If you have any questions, you can also discuss it in my CSDN。
https://blog.csdn.net/qq_37541097/article/details/103482003

My bilibili channel： https://space.bilibili.com/18161609/channel/index

My Youku playlist： http://list.youku.com/albumlist/show/id_52338354