下阶段学习路线

1、LSTMs

https://machinelearningmastery.com/multi-step-time-series-forecasting-long-short-term-memory-networks-python/?spm=a2c4e.10696291.0.0.5dec19a4ipYVI2

英文:

https://machinelearningmastery.com/multi-step-time-series-forecasting-long-short-term-memory-networks-python/

中文：

https://blog.csdn.net/Together_CZ/article/details/84891772

2、时间序列基线预测

How to Make Baseline Predictions for Time Series Forecasting with Python

http://machinelearningmastery.com/persistence-time-series-forecasting-with-python/

3、Multichannel CNN

How to Develop a Multichannel CNN Model for Text Classification

https://machinelearningmastery.com/?s=multichannel+CNN+Model&post_type=post&submit=Search

https://machinelearningmastery.com/develop-n-gram-multichannel-convolutional-neural-network-sentiment-analysis/

4、Deep Convolutional Neural Network

Deep Convolutional Neural Network for Sentiment Analysis (Text Classification)

https://machinelearningmastery.com/develop-word-embedding-model-predicting-movie-review-sentiment/

5、Mask R-CNN

How to Use Mask R-CNN in Keras for Object Detection in Photographs

https://machinelearningmastery.com/how-to-perform-object-detection-in-photographs-with-mask-r-cnn-in-keras/

6、人脸识别的例子

https://machinelearningmastery.com/how-to-develop-a-face-recognition-system-using-facenet-in-keras-and-an-svm-classifier/

7、End

课上说道过，传统的机器模型很多已不再使用（用来解决实际问题，），提到过最新的某个模型Bert在当前应用广泛…