Goal

• Learn to program with PyTorch, which is a powerful tool for deep learning.

• Implement a multiclass classifier with a multi-layer perceptron.

Readings

• R1 - Chapter 20 Tensors with PyTorch,  Machine Learning with Python Cookbook 2nd,  Free O'Reilly Learning by FJU ID

• R2 - Chapter 21 Neural Networks,  Sections 21.0~21.7, Machine Learning with Python Cookbook 2nd,  Free O'Reilly Learning by FJU ID

Instructions

• Read R1 and R2. Practice all the Python codes.

• Exercise: Use at least two datasets of Scikit-Learn real-world dataset in your exercise. Modify the Python codes to perform neural networks on new data. Analyze the results of output, explain the results, and improve the results.

Report: a separate and single web page that you

• • Write the goal of this assignment

  • Paste the Python codes you write. Clearly explain modified code segments written by you.

  • Upload code output results into your report web page

  • Explain the results of the output results

  • Give references to this assignment (teacher's readings, your search and readings)

Submit the web address of your web page to Microsoft Teams.