Machine Learning Practices

Useful Machine Learning notes, code, and practices. Currently most of the content is from the Machine Learning Course by Prof. Hung-Yi Lee in National Taiwan University.

- Pytorch

- Linear Regression

- Logistic Regression (Classification)

Convolutional Neural Network (Kaggle Link)

Recurrent Neural Network

Explainable AI

Visualizing Keras CNN attention: Saliency maps

How convolutional neural networks see the world

Explaining Keras Model with LIME

Adversarial Attack

Network Compression

Sequence to Sequence

A ten-minute introduction to sequence-to-sequence learning in Keras

Clutering (Dimension Reduction)

Anomaly Detection

Generative Adversarial Network (GAN)

- Transfer Learning

- Meta Learning

- Lifelong Learning

- Reinforcement Learning

Learning Resources

Deep Learning with PyTorch: A 60 Minute Blitz

PyTorch 自定義資料集 (Custom Dataset)

How to Use Word Embedding Layers for Deep Learning with Keras

LIME - Local Interpretable Model-Agnostic Explanation 技術介紹