💻 Vibe Coding 101|Your First Course For AI Product Builders.
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💻 Vibe Coding 101|Your First Course For AI Product Builders.
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.
In this project, you will learn how to pull datas from supabase to google sheets in a matter of minute
Simple Todo tutorial using Pocketbase+React in Realtime. 🪄
As a user, I want a walk through of creating a web app from the `aurelia-axel` starter kit, based of a familiar database (Northwind).