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chai aur react series on youtube
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.
A series of web components examples, related to the MDN web components documentation at https://developer.mozilla.org/en-US/docs/Web/Web_Components.
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An intro to the Web Audio API by a series of self-guided workshops.
Repo to accompany the series "Build A Pet Management System With Remix, Prisma, and Postgres" https://www.youtube.com/watch?v=wqyHGQlZcws&list=PLTnRtjQN5ieYu9SdwLvzKYFVtfqySY7FT
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