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 impressed with the work i saw here and i'd like to keep studiying it that's why i'm doing this pull request. My e-mail is carlosreyman2@gmail.com. Thanks
Regards
Carlos
Hi! I'm impressed with the work i saw here and i'd like to keep studiying it that's why i'm doing this pull request. My e-mail is carlosreyman2@gmail.com. Thanks Regards Carlos