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 Boris Banushev,
i am trying to explore good ways for classification on highly imbalanced datasets and i think a lot of your code can really help me in that,
This is my Email ynotfriedman@gmail.com
Thanks!
Hi Boris Banushev, i am trying to explore good ways for classification on highly imbalanced datasets and i think a lot of your code can really help me in that, This is my Email ynotfriedman@gmail.com Thanks!