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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.

List of secret menus inside Google Chrome and Chromium based browsers. Updated July 2026

• browser
• chrome
• chrome-browser
• chromium

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