A Technical Guide on RNN/LSTM/GRU for Stock Price Prediction

In our daily lives we interact with chatbot customer services, e-mail spam detections, voice recognition, language translation, or stock market predictions. These artificial intelligence products are powered by Recursive Neural Network (RNN), Long Short-Term Model (LSTM) and Gated recurrent unit (GRU), of an important branch of deep learning that deliver superior predictions for sequential data such as time series, language patterns, voice patterns.


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