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.
Hello Sir,
I have examined your code carefully and I am very interested in your work. I hope I can obtain the source code for further study. If the research results come out, I will cite your results
weihuan
da_huan_wei@163.com
Hello Sir, I have examined your code carefully and I am very interested in your work. I hope I can obtain the source code for further study. If the research results come out, I will cite your results weihuan da_huan_wei@163.com