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.
Hi, I'm an electrical engineering graduate student and I was wondering if you'd like to share the source code for this cool project. Thanks.202021015378@mail.scut.edu.cn is my email if you'd like to share! Anyway, thanks for the good news!
FRENTENEMO
commented
3 years ago
Hi, I'm an electrical engineering graduate student and I was wondering if you'd like to share the source code for this cool project. Thanks.202021015378@mail.scut.edu.cn is my email if you'd like to share! Anyway, thanks for the good news!