# 【筆記】Machine Learning - 李宏毅

### [Lec 4: Classfication](https://hackmd.io/@johnnyasd12/B1vreZ2hr)

### [Lec 5: Logistic Regression](https://hackmd.io/@johnnyasd12/rJl9W-32B)

### [Lec 7: Backpropagation](https://hackmd.io/@johnnyasd12/SkZtmW33H)

### [Lec 10: Convolutional Neural Network](https://hackmd.io/@johnnyasd12/rkkZ0mHVU)

### [Lec 11: Why Deep?](https://hackmd.io/@johnnyasd12/rJfjkES48)

### [Lec 12: Semi-supervised](https://hackmd.io/@johnnyasd12/Hk0c-VrEL)

### [Lec 13: Unsupervised Learning - Linear Methods](https://hackmd.io/@johnnyasd12/ryclG4SVL)

### [Lec 15: Unsupervised Learning - Neighbor Embedding](https://hackmd.io/@johnnyasd12/SJgwm4H4I)

### [Lec 16: Unsupervised Learning - Auto-encoder](https://hackmd.io/@johnnyasd12/BybQqMqPH)

<!-- ### [Lec 17: Unsupervised Learning - Deep Generative Model (Part I)](https://hackmd.io/@johnnyasd12/BJRC7-2hr) -->

### [Lec 18: Unsupervised Learning - Deep Generative Model](https://hackmd.io/@johnnyasd12/Sk5CNWh3H)

### [Lec 19: Transfer Learning](https://hackmd.io/@johnnyasd12/BJ8rrEBVI)

### [Lec 20: Support Vector Machine](https://hackmd.io/@johnnyasd12/Sks1vNSNI)

### [Lec 22: Ensemble](https://hackmd.io/@johnnyasd12/SJpSlSBNI)

### [Lec 23: Reinforcement Learning](https://hackmd.io/@johnnyasd12/HyARSHS4L)

## Advanced Topics in Deep Learning

[YouTube 影片](https://www.youtube.com/playlist?list=PLJV_el3uVTsPMxPbjeX7PicgWbY7F8wW9)

### [Conditional Generation by RNN & Attention](https://hackmd.io/@johnnyasd12/Hy2Xs1dV8)

### [Generative Adversarial Network](https://hackmd.io/@johnnyasd12/ryzEp1_EI)

### [Improved Generative Adversarial Network](https://hackmd.io/@johnnyasd12/BymEfZZBL)

## Next Step of Machine Learning (2019)

### [More about Auto-encoder](https://hackmd.io/@johnnyasd12/rkme6k6nE)

### [Meta Learning](https://hackmd.io/@johnnyasd12/H14WcBBN8)

### [Life Long Learning](https://hackmd.io/@johnnyasd12/ByQxYrS4L)

## [Deep Reinforcement Learning (2018)](https://hackmd.io/@johnnyasd12/BktgwKDH8)