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World's largest Contributor driven code dataset | Used in Quark Search Engine, @OpenGenus IQ, OpenGenus Visual Project

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.

BookPub is an advanced book publishing framework for creating manuscripts in Markdown, HTML, CSS, Javascript, and publishing them into any format (PDF, ePub, MOBI, HTML, Print).

  • css
  • ejs
  • ejs-partials
  • ejs-template-engine