# borisbanushev/stockpredictionai — RepoVerse

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

URL: https://repoverse.app/zh/cards/164816947

[仓库来源](https://github.com/borisbanushev/stockpredictionai)

## 卡牌快照

- 版本: Genesis
- 稀有度: uncommon
- 材质: Base
- 攻击力: 6258
- 防御力: 6871
- GitHub stars: 5601
- GitHub forks: 1869
- 语言: JavaScript
- 分类: Frontend Legends
- 快照日期: 2026-10-22

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