2020重新啓航

2020學習目標：

• 讀完Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow
• 學完CMU CS 11-747, Neural Networks for NLP
• 一口氣可以做50個俯臥撐

精讀Paper&Book

• 201712 - Transformer - Attention Is All You Need
• 201810 - BERT - Pre-training of Deep Bidirectional Transformers for Language Understanding
• 201907 - RoBERTa - A Robustly Optimized BERT Pretraining Approach
• 202001 - ALBERT - A Lite BERT for Self-supervised Learning of Language Representations

精學courses

每週一節課

• CMU CS 11-747, Spring 2020, Neural Networks for NLP

精通tensorflow 1.12

• Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow

  • 1. The Machine Learning Landscape

  • 2. End-to-End Machine Learning Project

  • 3. Classification

  • 4. Training Models

  • 12. Custom Models and Training with TensorFlow

  • 13. Loading and Preprocessing Data with TensorFlow

  • 11. Training Deep Neural Networks

  • 10. Introduction to Artificial Neural Networks with Keras

  • 16. Natural Language Processing with RNNs and Attention

  • 8. Dimensionality Reduction

  • 9. Unsupervised Learning Techniques