Predict Stock Prices Using RNN: Part 1
A tutorial on building a recurrent neural network (RNN) using TensorFlow to predict stock market prices. The author provides a step-by-step guide and makes the full working code available on GitHub for reference. For those unfamiliar with RNNs or LSTM cells, the author suggests reviewing their previous post.
A tutorial on building a recurrent neural network (RNN) using TensorFlow to predict stock market prices. The author provides a step-by-step guide and makes the full working code available on GitHub for reference. For those unfamiliar with RNNs or LSTM cells, the author suggests reviewing their previous post.
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Why it matters: This matters to AI engineers because it demonstrates how to apply RNNs to a real-world problem, such as stock price prediction, which can be useful in financial modeling and trading.
Source: https://lilianweng.github.io/posts/2017-07-08-stock-rnn-part-1/
This article was originally published at: https://lilianweng.github.io/posts/2017-07-08-stock-rnn-part-1/