Deep Learning Practice

Description

This is a project of deep learning model training and model deployment. The starting point and end point of this project is the hands-on practice of deep learning.

Update

Content has been updated

• MNIST

• R-CNN for banana train model

  Banana dataset download link:

  https://pan.baidu.com/s/1CsSNS9ofslmvUOg1lRO3Og

  提取码:fgl7

  Learning Materials Link:

  https://gitee.com/jiangli01/learning-plan/tree/master/学习路线/R-CNN

• YOLO-V1

  Learning Materials Link:

  https://gitee.com/jiangli01/learning-plan/tree/master/学习路线/YOLO V1

• AlexNet

  Learning Materials Link:

  https://mp.weixin.qq.com/s/WjgvQFRudVNQlC9DbUqUvQ

• AlexNet-Visualizing and ZFNet

  Learning Materials Link: https://mp.weixin.qq.com/s/de_Jf_9tg66f-bWaqDEThw

• CAM

  Learning Materials Link: https://gitee.com/jiangli01/learning-plan/tree/master/学习路线/CAM

• AlexNet-CAM

• GoogLeNet-V1

• GoogLeNet-V1-CAM

• ResNet18, ResNet34 and ResNet50

• ResNet-CAM

• VGG16、VGG19

• VGG16-CAM、VGG19-CAM

• AlexNet-Grad-CAM

• GoogLeNet-V1-Grad-CAM

• VGG16-Grad-CAM、VGG19-Grad-CAM

• ResNet-Grad-CAM

About to update content

• Implementation of 26 English letter recognition tasks based on DenseNet121

• Use 1 * 1 convolution to realize coffee bean image classification