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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.

🚀 Real-world DevOps projects for aspiring engineers — Beginner to Advanced. Covers AWS, Kubernetes, Docker, CI/CD, Terraform, Jenkins, and more. Hands-on learning with step-by-step guides.

  • devops
  • devops-learning
  • devops-poc
  • devops-project

Translated:bank: Sharing bank written test and interview experience and materials (help you pass the bank interview, and get a amazing bank offer!)

Translated🙈 🙉 🙊 We select high-quality front-end news from China and abroad for you, giving you insight into the latest developments in the industry and supporting your journey of technical growth.

TranslatedFree course for Resume, organizing and collecting free hands-on project courses from the web, including Java project practice, Python project practice, C++ project practice, and more

TranslatedA continuously updated library of source code examples for WeChat Mini Programs and Mini Games. It currently covers more than 120 WeChat Mini Programs or Mini Games.

  • wechat-mini-program
  • demo-app
  • demo
  • demos