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Kodluyoruz için Hazırladığım Video Eğitim Seti Repo'sudur. Tüm Eğitimlerime: https://linktr.ee/hakanyalcinkaya adresinden ulaşabilirsiniz.
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 resource to help figure out what JavaScript array method would be best to use at any given time
- arrays
- javascript
- array-methods
- array-lookup
A functional javascript workshop. No libraries required (i.e. no underscore), just ES5.
A complete, fully tested and documented data structure library written in pure JavaScript.
- javascript
- data-structures
- collections
- collection
🔒Unified API for password hashing algorithms
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Simple Todo tutorial using Pocketbase+React in Realtime. 🪄
- pocketbase
- react
- realtime-database
- tutorial