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.
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Translated[Mini Program] IDE + crack + Demo
Projects repo for tutorials for my YouTube Channel
A little tutorial to use the Newgrounds medals system with PICO-8
- newgrounds
- javascript-api
- newgrounds-medals
- pico-8