README.md

Introduce Machine Learning and Deep Learning for begineers

• The materials contained here were created in 2022
• Author: Sangho Kim

Contents

• Chapter 1. Implement simple machine learning algorithm using scikit-learn and numpy framework

  • chap 1-1. Linear Regression and Classification with Scikit-Learn, click
  • chap 1-2. Implement Gradient Descent using only numpy framework click

• Chatper 2. Training and performance evaluation of an MLP model using MNIST benchmark

  • implemented with PyTorch
  • implemented with Tensorflow and Keras

• Chapter 3. Training and performance evaluation of an CNN model using MNIST benchmark

  • implemented with PyTorch
  • implemented with Tensorflow and Keras

• Chapter 4. Methods to address Over-fitting during AI model training

  • material implemented with Tensorflow

• Chapter 5. Implement VGG16 network

  • implemented with PyTorch
  • implemented with Tensorflwo and Keras

Contact

• Sangho Kim
• hop7311@gmail.com