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.
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A Demo SPA developed with React, ES6, Webpack (2.x), and Antd (1.0.1) 【move to react-seed】
Translated🎧 Update your NetEase Cloud Music (网易云音乐) listening history from the past week to a Gist
- github-gist
- gistbox
- pinned-gist
- awesome-pinned-gists
A small application using Ember with Corber using ember-element-ui