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.
I'm having a lot of trouble with machine learning again and I would like to learn more about your code, it would help me a lot. Thank you very much! If you have time, please send an email to aodiding541@gmail.com
I'm having a lot of trouble with machine learning again and I would like to learn more about your code, it would help me a lot. Thank you very much! If you have time, please send an email to aodiding541@gmail.com
thanks you very much!