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TranslatedA programmer who loves cooking and is determined to use animations to explain algorithms in plain, easy-to-understand terms. My interview website: www.chengxuchu.com

TranslatedA comprehensive summary of computer fundamentals interview questions (computer networks / operating systems / databases / Git...), including detailed follow-up questions and answers; everything is in the form of [question + follow-up + answer], ready to use right away and aimed directly at interviews at major internet companies; can be used for mock interviews, review before interviews, and preparing quickly for interviews in a short time...

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.

Interactive Go Interview Platform - 30+ coding challenges with instant feedback, AI interview simulation, competitive leaderboards, and automated testing. From beginner to advanced levels with real-world scenarios.

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