This is a repository to deliver the 2024 AIPC Camp Training Material on July 23-25, 2024. Please DO NOT distribute this document for any commercial purposes.

Lab 1 and Lab2 Remote Lab: Windows RDP Usage

Lab3 Remote Lab usage

1. Find the original MLP notebook in Remote Lab Riallto 5-0
2. First run the original 5-0 MLP notebook step by step

Complete the FashionMNIST homework by training a neural network on the FashionMNIST dataset. The lab involves setting up the environment, loading the dataset, building a simple MLP (Multi-Layer Perceptron) model, and training it on the FashionMNIST dataset. Evaluate the model's performance and make necessary adjustments to improve accuracy. Document your process and results.

1. Use RDP to log in to remote lab
2. Open the Riallto on the desktop
3. Learn and run the notebooks in Riallto

1. Clone the original Yolov8 from our Github Rpo under Lab2 to the remotelab
2. Run the original Yolov8 notebook in yolov8_e2e/implement/yolov8_notebook.ipynb
3. Review and enhance the existing Yolov8 notebook by improving the model's performance and efficiency. This includes optimizing the data preprocessing steps, experimenting with different hyperparameters, and implementing advanced techniques to boost the model's accuracy and speed. Test the improved model on a validation set and compare the results with the original notebook. Provide a detailed report on the changes made and their impact on the model's performance.

1. Lab3 Remote Lab usage
2. Learn and run the 4-2 notebooks in Riallto
3. Download the notebook with the your written kernel.

• Deadline: 31th July
• Submission format:
  • Download the Jupyter Notebook and send the notebook file through e-mail.
• E-mail Notification: [email protected]
  • Name, School, Cell Phone number should be provided in the e-mail.

1. RyzenAI SW
2. Riallto
3. YOLOv8 exmaple