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Duration: 2-3 hours

Training type: classroom or online

Language: English

General information:

Rather than lecturing, with Panda Training Jerome sees his role as a coach, helping you in your path to AI. The courses he offers are designed to give both background information and hands-on experience. During a 2-3 hours session you will get insights about a specific topic, and after that you will work on a 20 hour project. While doing the project, you will have a dedicated Slack channel to discuss ideas and get support. At the end your implementation will be reviewed and you will get feedback. 

Course description:

  • Different classification tasks 
  • Classification: Resnet, inception, Squeeze nets, SEnets, 
  • Detection: (Faster) RCNN, Yolo, 
  • Segmentation: RefineNet, PSPnet, DeepLab
  • Tracking: open CV, heatmaps, attention networks

Homework: 

- Implement a classifier of your choice in Pytorch, 

- Retain a pre-trained classifier on new task.

 

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