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Andy Zhang's Projects

stockpredictionai icon stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

struts2 icon struts2

my codes of learning struts2, hope you can benifit from them.

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

weixin_crawler icon weixin_crawler

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