Lilian Weng • 7/8/2017

Predict Stock Prices Using RNN: Part 1

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This technical tutorial provides a step-by-step guide to constructing and training an RNN model using TensorFlow for stock price prediction. It uses real-world S&P 500 data, explains the model graph in a straightforward manner, and demonstrates the use of TensorBoard for debugging. The author focuses on the TensorFlow implementation process rather than optimizing prediction accuracy.

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#Machine Learning #Recurrent Neural Networks #Tensorflow
Predict Stock Prices Using RNN: Part 1

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