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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.

TranslatedFull-stack learning roadmap and Chinese tutorials for large language models (LLM)🔥: covers Prompt Engineering, RAG, AI Agent, MCP, fine-tuning, model deployment, Transformer, AI programming, and interviews at major tech companies, from beginner level to production practice.

TranslatedGuide to a high-value life, overseas edition: high-value study abroad. Scholarships for studying abroad, tuition-free study, full government scholarships, paid PhDs, and in Germany and Japan people pay you to learn a trade, with scholarships for the US, Canada and Australia in their own section. It's not you paying to study abroad, it's you getting paid to study abroad. 71 entries, citing only official sources. Follow the author: WeChat Channels (视频号) Becky在地球村 (Becky in the Global Village)

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